bluuebunny/crossref_metadata_2025 huggingface dataset:
O outro do “quadro referencial teórico” – uma resposta a Lorenz Puntel
Authors: Castro Fabio Caprio Leite de
Published: February 2024

O artigo tem o objetivo de oferecer uma resposta às críticas que Puntel fez a Levinas em seu livro Ser e Deus. Iniciamos nossa abordagem com uma contextualização do pensamento punteliano. Dado esse passo inaugural, propomos uma análise de seu exame crítico à obra de Levinas em dois tempos, seguindo a ordem de seus argumentos em Ser e Deus. Primeiramente, analisamos as críticas de Puntel às “assunções fundamentais” da filosofia levinasiana, sobre teoria/conhecimento, metafísica e Ser. Depois disso, analisamos suas críticas à “concepção de transcendência e Deus” em Levinas. O título deste artigo é uma provocação a partir da pergunta: “Qual é o lugar do absolutamente Outro no quadro referencial teórico de Puntel?”. Tal como ocorre na ontoteologia e na ontologia fundamental, o absolutamente Outro não encontra lugar no quadro referencial teórico de Puntel.

 

Palavras-chave: Ontoteologia, Ética, Alteridade, Levinas, Puntel.
Desejo, poder e medo em Alcibíades
Authors: Souza Jovelina Maria Ramos de
Published: February 2024

Como pensar o amor individual e seus efeitos sobre a estrutura psíquica, no jogo erótico entre Sócrates e Alcibíades, no Banquete? Minha proposição parte do imbricamento entre a esfera política, representada por Alcibíades e a filosófica, por Sócrates. O contexto político da questão proposta, no cenário do simpósio na casa de Agaton, compreende o desejo de Alcibíades em dominar Sócrates, temendo ser ridicularizado por expressar sua paixão ardorosa ao amado, a ponto de sua narrativa apresentar uma inversão dos papéis predominantes em uma tradicional relação de pederastia, ultrapassando a condição de amado (erómenos), agente passivo, para o de amante (erastés), agente ativo.

Palavras-chave: Desejo; Poder; Medo; Alcibíades; Platão.
O mito da cidade justa: considerações sobre um uso filosófico da mimese em Platão
Authors: Santos Mateus Lima dos
Published: February 2024

O ataque de Platão à mimese parece reducionista a ponto de muitas interpretações a conceberem como uma noção essencialmente negativa. Na República (X 595c-608b), o filósofo teria definido as artes representativas através de tal conceito, expulsando os imitadores de sua cidade sob o pretexto de que engendrariam imagens distantes do inteligível (R. X 595c-602b). No entanto, a constituição política elaborada por Platão é apresentada como uma “pintura” (Ti. 19b) “imaginada em palavras” (R. VI 501e), quer dizer, ela possui o mesmo estatuto dos trabalhos miméticos que são criticados na República. O diálogo Timeu-Crítias (29b, 107b) parece dar margem para a dissolução deste aparente paradoxo ao apresentar a mimese como uma propriedade do mundo e da linguagem. Desse modo, o conceito de mimese não poderia ser reduzido a uma concepção unitária, nem tampouco negativa, como as páginas do último livro da República poderiam sugerir. O presente artigo pretende investigar a possibilidade do uso filosófico da mimese examinando sua natureza na filosofia de Platão. Parece haver uma limitação da linguagem que impede um discurso fixo e estável (epistêmico) sobre a cidade justa. Restaria, então, recorrer à mimese.

 

Palavras-chave: Platão; mimese; poesia; política.
Prática Pedagógica de Professores de Matemática numa perspectiva emancipatória e reflexiva
Authors: Silva Fabiana de Castro , Fanizzi Sueli
Published: February 2024

Este trabalho apresenta reflexões de um estudo realizado em uma pesquisa em andamento, do Curso de Mestrado em Educação, na linha de pesquisa Educação em Ciências e Educação Matemática, da Universidade Federal de Mato Grosso (UFMT). Serão discutidos os temas formação inicial docente, saberes docentes e prática pedagógica de professores que ensinam Matemática, a partir dos quais o referencial teórico da pesquisa está sendo constituído. O estudo se pautou em autores e autoras como André (2009, 2010, 2018), Gatti (2014), Tardif (2012), Tardif e Raymond (2000), Pimenta (1999), Mizukami (2013), Franco (2016), Fiorentini e Oliveira (2013), Caldeira e Zaidan (2010), Vieira e Zaidan (2013), dentre outros. Verificou-se a necessidade, sobretudo na formação inicial do professor, de analisar e discutir a prática social do educador matemático, refletir sobre a matemática trabalhada no âmbito escolar e valorizar a experiência dos pares como uma fonte de aprendizagem do trabalho docente. Nesse sentido, Programas voltados à formação inicial do futuro professor, como o Programa Institucional de Bolsas de Iniciação à Docência (PIBID), que contextualizem o trabalho docente, se configuram como importantes políticas públicas capazes de possibilitar aos futuros professores a mobilização dos saberes docentes e o desenvolvimento de uma prática pedagógica intencional, reflexiva e emancipatória, rompendo com a tendência que, infelizmente, ainda impera na sala de aula, de um ensino de matemática engessado e mecanizado.
Identifying Heirs’ Property: Extent and Value Across the South and Appalachia
Authors:   Auburn University, Thomson Ryan , Bailey Conner ,   Auburn University
Published: February 2024

A database of property tax records was used to locate and quantify the extent of heirs’ property across 11 states (Alabama, Florida, Georgia, Kentucky, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, Virginia, and West Virginia). Based on previously published work, an index of four variables was then developed to estimate the likelihood that a given parcel was heirs’ property. The authors conservatively estimate that there are at least 496,994 parcels of heirs’ properties with a combined total area of 5.3 million acres and a market value of $41.9 billion in these states.
Respiratory Analysis with Electrocardiogram Data: Evaluation of Pan-Tompkins Algorithm and Cubic Curve Interpolation Method
Authors: Demirsoy Mert Süleyman , Ay Gül Ayşe Nur
Published: February 2024

Advancements in bioinstrumentation have facilitated the easier monitoring of biometric signals such as electrocardiogram (ECG) and respiration. This development is particularly crucial for the diagnosis and management of various conditions like stress and sleep disorders. Two commonly used features in heart rate variability (HRV) analysis derived from ECG data are standard deviation and serial correlation coefficients of R-R intervals (the time durations between heartbeats). The former utilizes the fundamental components of QRS complexes, while the latter is designed to extract relationships between respiration and heart rate. In the proposed methodology, R-R wave detection is performed on processed ECG data using the Pan-Tompkins algorithm, and the respiration duration for each R-R interval from respiration data is selected. Additionally, missing respiration data for selected R-R intervals is interpolated based on the interpolation method. The results of this study are compared with the standard interpolation and cubic spline interpolation models to assess the effectiveness of the proposed method and its ability to capture temporal fluctuations. Since standard interpolation fails to accurately detect respiration data from R-R intervals and cannot precisely handle missing R-R intervals in short samples, cubic spline interpolation is recommended as a replacement and its results are presented. The obtained results provide insights into the effectiveness and application of the Pan-Tompkins algorithm, FFT (Fast fourier transform) implementation, and cubic spline interpolation in the selection of respiration and R-wave features. According to the findings of the study, in the analysis conducted on 2-second samples with a 1000 Hz sampling frequency created from each participant's respiratory data set, missing respiratory data were successfully reconstructed from the R-R intervals of the ECG data using standard and cubic curve interpolation methods. Upon examination of RMSE (Root mean square error) values, it was observed that for 30% of the participants, as RMSE values increased, completion counts for standard interpolation increased, while completion counts for cubic curve interpolation decreased. Conversely, when RMSE values decreased, 60% of the participants showed a decrease in completion counts for standard interpolation and an increase in completion counts for cubic curve interpolation. A 10% participant group was identified where there was no apparent relationship between RMSE values and interpolation method. This indicates that in 90% of the participants, there is a linear relationship between the study's interpolation method, RMSE values, and completion counts for missing R-R intervals.
Application of novel methods for quality improvement in explosion puffing drying of apple snacks
Authors: Bulantekin Özcan , Kuşçu Alper , Eroğlu Salih
Published: February 2024

In this study, vacuum drying (VD), microwave drying (MW) and freeze-drying (FD) alternatives to air drying (AD) were applied to apple samples before explosion puffing drying (EPD). The volumes of AD+EPD samples were determined 20% higher than the volume of AD samples. The porosity value and the average pore radius value were obtained by examining the SEM images with the MATLAB program. Porosity values were found between 0.41-0.82 for all drying processes applied. The lowest porosity was found at 180MW, and the highest porosity was found in the FD samples. It is seen that the porosity ratio increases as the microwave power per product increases. Rehydration rates of 180, 360 and 600MW samples were determined as 308, 320 and 336%, respectively. It contributed to the increase in rehydration due to the increase in the porosity of the product with the increase in power density per product in MW drying. There was an increase in the amount of TPC with the combined use of the EPD process. The highest ABTS and DPPH were determined in the FD, FD+EPD and 600MW+EPD samples, respectively. The pre-drying methods and parameters described in the study significantly affected the quality of apples in terms of their physical and chemical properties.
Judicial resistance and the virtues
Authors: Widłak Tomasz
Published: February 2024

This article concerns the concept of judicial resistance understood in connection with the individual, on-bench decisions undertaken by judges in view of upholding the rule of law and in defiance of measures introduced by authoritarian, semi-authoritarian, "illiberal", or otherwise oppressive regimes. The point of focus is the normative dimension of acts of judicial resistance and the contention that they constitute the rightful obligation of judges. The article claims that judicial resistance interpreted as a right or duty is objectionable. As it will be argued, the key reason is the inadequacy of the rule-oriented models (deontic and consequentialist) on which the categories of right and duty rest to address the descriptively and evaluatively thick notion of judicial resistance. Instead, the article will argue for a virtue-centred model which explains judicial resistance through the character strengths of a virtuous judge. After expounding the conception of judicial virtue and the approach of a virtuous judge, the analysis will argue how perceiving the capacity to resist in terms of virtue allows for overcoming difficulties connected with the claim that a judge has a right or duty to resist. In the last part, the analysis will propose a list of three virtues that may be especially adequate for judicial resistance based on selected examples.
Este artículo aborda el concepto de resistencia judicial entendido en relación con las decisiones individuales, en el estrado, adoptadas por los jueces con el fin de defender el Estado de Derecho y desafiar las medidas introducidas por regímenes autoritarios, semiautoritarios, "antiliberales" u opresores de otro tipo. El punto central es la dimensión normativa de los actos de resistencia judicial y la afirmación de que constituyen una obligación legítima de los jueces. El artículo afirma que es objetable que la resistencia judicial sea interpretada como un derecho o un deber. Como se argumentará, la razón clave es la inadecuación de los modelos orientados a las normas (deónticos y consecuencialistas) en los que descansan las categorías de derecho y deber para abordar la noción descriptiva y evaluativamente espesa de la resistencia judicial. En su lugar, el artículo defenderá un modelo centrado en la virtud que explique la resistencia judicial a través de los puntos fuertes del carácter de un juez virtuoso. Tras exponer la concepción de la virtud judicial y el enfoque de un juez virtuoso, el análisis argumentará cómo el hecho de percibir la capacidad de resistencia en términos de virtud permite superar las dificultades relacionadas con la afirmación de que un juez tiene el derecho o el deber de resistir. En la última parte, basándose en ejemplos seleccionados, el análisis propondrá una lista de tres virtudes que pueden ser especialmente adecuadas para la resistencia judicial.
Evaluación de producciones literarias escolares a través del conteo de palabras únicas y densidad léxica digital
Authors: Corona Ferreira Arturo , Benítez Arias Leopoldo , Ramírez Martinell Alberto
Published: February 2024

Esta investigación se enfoca en analizar la inclusión de la densidad léxica para la evaluación de productos literarios durante el proceso de enseñanza de la literatura a través del uso de la herramienta digital Voyant-Tools. Esta investigación busca explorar una alternativa para mejorar las competencias literarias en estudiantes que cursan la asignatura Literatura en el Colegio de Bachilleres de Tabasco en México. Durante el curso los estudiantes realizan producciones literarias en 3 sesiones didácticas, donde generan un corpus de texto. Los conjuntos de datos producto de los corpus resultantes fueron estudiados mediante el análisis digital de textos, a fin de obtener indicadores que permitan caracterizar la competencia literaria de los estudiantes en términos de densidad léxica y el número de palabras únicas mejor conocidas como types o tipos. Los resultados mostrados en esta investigación indican que, en el caso de la muestra seleccionada, la cantidad de palabras únicas son un mejor indicador tanto de la apropiación de léxico y como de la competencia literaria en los estudiantes en comparación con la densidad léxica.
From Data to Action Socially Embedded and Inclusive Digitalization for Food Systems Transformation
Authors:   TMG Research gGmbH, Stiem-Bhatia Larissa , Betge David , Crowe Pettersson Clare
Published: February 2024

This policy brief presents an emerging consensus on the conditions needed to ensure that digitalization shapes food systems transformation in a positive way.
Semiótica ambiental: un campo emergente de articulación interdisciplinaria
Authors: Andrade Frich Bodil
Published: February 2024

Este artículo presenta las bases y los principales aspectos teóricosy metodológicos que han orientado la construcción de lasemiótica ambiental, la cual constituye un nuevo campo deinvestigación interdisciplinaria cuyo objetivo general consisteen indagar los procesos de significación que los individuos, enel seno de sus grupos sociales y de su propia cultura, generanpara relacionarse con el medio ambiente en el que habitan. Estosprocesos se efectúan en un territorio específico a través dedistintas prácticas sociales que se expresan mediante creencias,rituales, usos y manejo de recursos naturales, ya sean renovableso no renovables; por lo tanto, algunas de estas prácticas handemostrado a través del tiempo ser sustentables, mientras queotras han resultado ser insustentables para el planeta.En el artículo se muestra la diversidad de investigaciones quedesde el enfoque de la semiótica ambiental se ha emprendidoen los últimos veinte años. En el caso de México, la autora haefectuado estudios de este tipo en los contextos rural, urbanoy rururbano. El artículo también expone las preguntas que hanguiado las investigaciones en numerosos contextos institucionales,así como los desafíos que los diversos campos disciplinaresenfrentan actualmente en esta materia.Además, a lo largo del texto la semiótica ambiental es caracterizadacomo un campo de diálogo interdisciplinario entremúltiples significaciones ambientales que promueven puentesconceptuales y contribuyen a articular miradas que desde laciencia, la tecnología, la educación, el gobierno y la ciudadanía,proponen soluciones a la crisis ambiental contemporánea, mediantelas que se generan nuevos sentidos que dan cuenta de larelación entre las sociedades y el medio ambiente.
Diálogos con Tim Ingold. Diferentes aportes en el ámbito de la antropología fenomenológica
Authors: De Moura Carvalho Isabel Cristina , Steil Carlos Alberto
Published: February 2024

El artículo destaca la contribución de Tim Ingold a la antropologíaecológica y a las ciencias humanas; discute particularmentelos conceptos de percepción, cuerpo, carne y paisaje desarrolladosen el libro The perception of environment (1990). También setoma en consideración el libro posterior de Ingold, Being Alive(2011), así como las observaciones del propio Ingold a la primeraversión de este paper, presentado y discutido en el seminario“Cultura, percepción y ambiente”, en el que Ingold personalmentedebatió los artículos escritos en diálogo con su obra. Desdeuna postura fenomenológica y un diálogo interdisciplinario conla biología y la psicología, comprende la experiencia común atodos los seres vivos, constituidos como organismos que, a suvez, no se cierran como envolturas corporales o identidadesespecíficas. Desde sus proposiciones, se abren las posibilidadesde estar en el mundo y se evidencia la educación comomovilización de la atención, al poner en jaque las teorías sobre latransmisión de la cultura y la formación humana basada en lasoposiciones mente y cuerpo, naturaleza y cultura. Estamos anteuna perspectiva ecológica radical que piensa simétricamente ellugar y el estatus de los organismos y su acción en el mundo
La otredad y los engaños del lenguaje audiovisual según Escondido de Michael Haneke
Authors: Cabrejo José Carlos
Published: February 2024

A partir de las semióticas generativa y tensiva, y de la narratología, este artículo aborda cómo la película Escondido del realizador Michael Haneke retrata la otredad, es decir, la visión de un sujeto con respecto a otro, distinto a él. Los puntos de vista, las figurasvideográficas  /mediáticas y la iluminación son algunos de los aspectos del film que son empleados para dar una visión manipuladora, engañosa e ilusoria de aquello que es percibido como “diferente”: lo extranjero, lo inmigrante, lo “no occidental”.
Subjetividad, subjetalidad y subjetivación: el devenir (del) sujeto
Authors: Colas-Blaise Marion
Published: February 2024

El marco teórico y metodológico de este artículo proviene de la semiótica greimasiana y postgreimasiana, en su relación con la lingüística. En el cruce de estas disciplinas la semiótica de la enunciación posibilita examinar con detenimiento los conceptos subjetividad, subjetalidad y subjetivación, en la medida en que intervienen en la definición de sujeto de enunciación, conceptos íntimamente relacionados.Estos términos son tratados desde tres puntos de vista. Primeramente, la autora se centra en las marcas, rastros y huellas (empreintes) en el texto, con el objetivo de profundizar en la noción de expresividad, vinculada con uno de los regímenes desubjetividad: la subjetividad subjetiva, que caracteriza al sujeto enunciador. En segundo lugar, ella presta atención a los orígenes del sujeto de enunciación e identifica otros dos regímenes de subjetividad: la subjetividad participante, relacionada con un cuerpo sensible (cuerpo-actante) y con su sensorio-motricidad, y la subjetividad subjetal, asociada a la percepción. Por último, intenta mostrar cómo la subjetividad subjetiva y el sujeto deenunciación toman forma en un texto no sólo a través de marcas, rastros y huellas, sino sobre todo a partir de formas organizacionales llamadas género, estilo, idiolecto o textura.Así pues, el sujeto enunciador puede definirse como el punto de convergencia de tres regímenes de subjetividad, que caracterizan el desarrollo del sujeto (la subjetivación). Los distintos niveles correspondientes a los regímenes de subjetividad participante, subjetal y subjetivo definen un recorrido enunciativo.
Diagrama del sujeto
Authors: Ruiz Moreno Luisa
Published: February 2024

En este trabajo se presenta un diagrama complejo que ha sidoelaborado para pensar la problemática del sujeto y la subjetividady contribuir, de este modo, a una semiótica del sujeto.Tal diagrama consta de una gráfica que, desde el soporte de unconjunto de esferas, retoma otros modelos constitutivos de lasignificación, como el cuadrado semiótico y el esquema tensivo.Para todo ello, ha sido necesario hacer un deslinde del conceptodiagrama y sus filiaciones, luego, revisar las aportaciones dela llamada semiótica subjetal para postular, finalmente, unacorporeidad dinámica inherente al sujeto. Así, el diagrama delsujeto aparece como una morfología con su propia sintaxis, cuyomotor sería la enunciación en tanto acontecimiento continuo yestructurante de ego.
Semiótica y figuras retóricas
Authors: Fiorin José Luiz
Published: February 2024

En este artículo se analiza las figuras no trópicas, en vez de los tropos ―los cuales generalmente son considerados más dignos de análisis. En el examen de las figuras debe tenerse en cuenta las dimensiones tensivas: la intensidad y la extensión. Las figuras son operaciones enunciativas para intensificar y, en consecuencia, también para atenuar el sentido. El enunciador, pretendiendo avivar (o suavizar) el sentido, realiza, en el eje de la extensión, cuatro operaciones posibles, ya analizadas por los rétores antiguos: la adjunción o repetición, con la consecuente expansión del enunciado; la supresión, con la natural disminución del enunciado; la transposición de elementos, es decir, el intercambio de posiciones en el enunciado; y el cambio o intercambio de elementos. Este texto muestra, así, que las figuras no son lujos del discurso, pues siempre tienen una función argumentativa.
Procedes D’adaptation Phonetique De L’emprunt : La Dynamique De Systeme Phonologique De L’arabe Jordanien En Contact Avec L’anglais Et Le Français
Authors: Al Zboun Bassel , Matarneh Mohammed , Abu Hanak Nisreen
Published: February 2024

Objectives: This study aimed at analyzing a number of Jordanian Arabic lexical units borrowed from French and English Particularly, we attempt to answer the following questions: What are the mechanisms adopted by the target language in the process of integrating the phonic forms of borrowed units? What is the impact of these adaptation mechanisms on the dynamics of the phonological system of the target language?
Methods: This study adopted the methodology of functional phonology to analyze an oral corpus made up of approximately 300 units.
Results: The findings of the analysis show that language contact offers explanations for the observed phonetic variations. In essence, the consonant system of Jordanian Arabic is characterized by a rather weak correlation of voiced and voiceless consonants insofar as certain voiceless consonant phonemes do not have corresponding voiced counterparts, e.g., /k/ and /f/, which favored the integration of corresponding voiced phonemes like /g/ and /v/. The results of the study also show the emergence of new vowel sounds.
Conclusions: This study found effects of phonetic adaptation strategies and their contribution to the evolution of the phonological system in the target language, revealing that borrowing in such manner introduces new phonetic variations which gradually get integrated within the system of the language in ways that would fit its phonetic rules.
Competitive coexistence of ferromagnetism and metal–insulator transition of VO2 nanoparticles
Authors: Hatano Tsuyoshi , Fukawa Akihiro , Yamamoto Hiroki , Akiba Keiichirou , Demura Satoshi , Takase Kouichi
Published: February 2024

We investigated the magnetic and electric properties of nanometer-sized vanadium dioxide (VO2) particles. VO2 nanoparticles were formed by milling VO2 powder. We measured the magnetic field dependence of the magnetization of the VO2 powder and nanoparticles. The VO2 powder did not exhibit ferromagnetism, whereas the VO2 nanoparticles exhibited ferromagnetism. In addition, we fabricated samples by bridging between electrodes with the VO2 nanoparticles, and the temperature dependence of their resistance was measured. Metal-insulator transitions (MITs) were observed, and the temperature range where the MIT occurred was wider than that in a typical bulk VO2. The VO2 nanoparticles exhibited these properties of ferromagnetism and MIT possibly because of the surface and size effects of the VO2 nanoparticles. These results indicate the first observation of the competitive coexistence of ferromagnetism and MIT of VO2 nanoparticles.
Fabrication of micro/submicron hierarchical structures on ceramic sheet surfaces combining 2-step imprinting and in-plane compression processes
Authors: Taira Ryoma , Tsumori Fujio
Published: February 2024

Many organisms have functional microstructured surfaces. Particularly, lotus leaves have hierarchical dual-scale micro/nanostructures on their surface and exhibit highly water repellent properties. We have developed techniques to fabricate patterns on inorganic material surfaces such as ceramics. Applying these techniques to fabricate hierarchical structures can make ceramic surfaces even more promising. In this paper, we prepared 2 kinds of mold with line-and-space patterns with pitches 50 μm and 2 μm and fabricated micro (rough patterns)/submicron (fine patterns) hierarchical structures on sintered ceramic sheets using a newly developed imprinting process with in-plain compression method. We proposed processes for the fabrication of such hierarchical structures, discussed the possibility of higher resolution of the patterns by comparison with the analytical results.
Learning Representations with End-to-End Models for Improved Remaining Useful Life Prognostic
Authors: Chaoub Alaaeddine , Voisin Alexandre , Cerisara Christophe , Iung Benoit
Published: February 2024

Remaining Useful Life (RUL) of equipment is defined as the duration between the current time and its failure. An accurate and reliable prognostic of the remaining useful life provides decision-makers with valuable information to adopt an appropriate maintenance strategy to maximize equipment utilization and avoid costly breakdowns. In this work, we propose an end-to-end deep learning model based on dense layers and long short-term memory layers (LSTM) to predict the RUL. After normalization of all data, inputs are fed directly to several dense layers for feature learning, then to an LSTM layer to add the notion of time, and finally to other dense layers for RUL prediction. The proposed architecture is tested on the NASA commercial modular aero-propulsion system simulation (C-MAPSS) dataset. Despite its simplicity with respect to other recently proposed models, the model developed outperforms them with a significant decrease in the competition score and in the root mean square error between the predicted and the gold value of the RUL. In this paper, we will discuss how the proposed end-to-end model is able to achieve such good results and compare it to other deep learning and state-of-the-art methods.
Automate Quality Prediction in an End-of-Line Test of a Highly Variant Production of Geared Motors – Discussion of a Full Concept
Authors: Wissbrock Peter , Pelkmann David , Tölle Björn
Published: February 2024

In the production of complex and modular mechanical components such as geared motors the diversity of variants is rising continuously. At the same time the requirement for good sound quality of the product is increasing. In a batch-size-one production it is hard for the assembly operator to determine the product quality consistent. Automation of the end-of-line test leads to several problems. Classical vibration and sound measurements take a lot of time and the features have to be defined individually for every single product configuration. This paper presents a full concept for automation or semi-automation of the end-of-line test in a highly variant production of geared motors. It is shown how acoustic measurement can be done in a common industrial production and gives an overview of typically used machine learning methods and their features for quality prediction of geared motors. Further a concept for dealing with the lack of labeled examples is addressed to analyze historically unknown product configurations. Finally it is discussed how to structure classifiers to capture of all known and unknown faults. The end-of-line concept is a basic module for industry 4.0 and can be generalized to all modern industrial productions where batch-size-one and a high diversity of variants are typical.
Embedding Diagnosability of Complex Industrial Systems Into the Design Process Using a Model-Based Methodology
Authors: Barbini Leonardo , Bratosin Carmen , Nägele Thomas
Published: February 2024

There is a constant increase of the market expectations on the capabilities of industrial high-tech systems. To meet these expectations, designers of such systems have to continuously explore complex solutions that ensure both functionality and maximum up-time. In this paper we describe a methodology that supports the designers in this difficult task. Specifically, we introduce a model-based approach that computes both the diagnosability of a system and the list of service actions to perform in order to find the root cause of any of the system’s failures. The proposed methodology starts at design time, by creating behavioral models for the spare parts of the system. These models specify both the expected behavior and possible Failure Modes (FMs) of the spare parts. Using these models, the system design is composed, with the individual spare part behaviors defining the system’s behavior. To create these models we use a domain-specific language that generates a Bayesian belief Network (BN) that allows for the simulation of the behavior of the full system. The BN is used to compute the failure symptoms, i.e. readings on a given sensor configuration, for every FM in the system. Finally, we perform the diagnosability analysis by determining FMs for which the symptoms are equal, causing them to be unidentifiable. For the unidentifiable FMs, we compute a set of service actions needed to ensure full diagnosability and the corresponding sensor readings to differentiate between the failures. This information is then used by the designer to compare different designs of the system. In this paper, we illustrate our approach on a sub-system of a high-tech machine, but the methodology is domain independent.
Securing Deep Learning Models with Autoencoder based Anomaly Detection
Authors: Kühne Joana , März Christian , G¨uhmann Clemens
Published: February 2024

Deep learning models are on the rise in many scientific fields. Their ability to solve complex and nonlinear tasks has made them very popular. However, in comparison to physical models, they struggle with extrapolation. Hence, it is important that the input data in the production stage is similar to the data seen in training. Deviations to the training often occur in real world applications due to sensor delays and drifts, aging of the system, and communication errors such as noise. Especially in safety relevant applications, securing those models against these influences, which can be seen as anomalies, is essential.

 

In the past, Autoencoders, especially Variational Autoencoders (VAEs), have been proven useful for anomaly detection. Many researches focus on improving the Autoencoder’s separation ability for an optimal set anomaly threshold. However, the setting of the threshold is not trivial and is crucial for a good anomaly detection. Setting the threshold optimal becomes especially challenging if the anomaly is unknown in the training process, which is often the case in a real world application.

 

The proposed method combines a deep learning model with an Autoencoder. The input data is handed to the trained Autoencoder which reconstructs the input. If the data is similar to the training data, the Autoencoder should be able to reconstruct the input data accurately. Otherwise, an anomaly is suspected. The reconstruction and the original input data are both passed through the deep learning model, generating two predictions, which are then compared.

 

For classification and reinforcement tasks with discrete result space the prediction of non-anomalous data should lead to the same class for both samples. For those tasks this allows us to sort out samples as anomalies for which the two results are not the same, hence the threshold becomes obsolete.

 

For regression and continuous reinforcement tasks, the difference between the two predictions can be interpreted as a safety measure and is easier to grasp than the Autoencoder’s reconstruction error, which is typically used.

 

The advantage of this method is the distinction between samples that can or cannot be handled by the subsequent application model instead of just deciding if the input is anomalous. This leads to a higher robustness of the joint model and a better usage of resources of the deep leaning model. Moreover, the Autoencoder and the deep learning model are trained separately which makes the training a lot more stable than using coupled training methods.

 

The proposed method is proven on both, a classification and a regression task. For the classification, the publicly available UEA multivariate time series classification dataset was used. For regression, a dataset simulating a SCR catalyst as part of an automotive exhaust gas aftertreatment system was evaluated. For both tasks common anomalies such as delay and noise were applied to the data.
Canonical polyadic decomposition and deep learning for machine fault detection
Authors: Frusque Gaëtan , Gabriel Michau , Olga Fink
Published: February 2024

Acoustic monitoring for machine fault detection is a recentand expanding research path that has already provided promisingresults for industries. However, it is impossible to collectenough data to learn all types of faults from a machine. Thus,new algorithms, trained using data from healthy conditionsonly, were developed to perform unsupervised anomaly detection.A key issue in the development of these algorithms isthe noise in the signals, as it impacts the anomaly detectionperformance. In this work, we propose a powerful data-drivenand quasi non-parametric denoising strategy for spectral databased on a tensor decomposition: the Non-negative CanonicalPolyadic (CP) decomposition. This method is particularlyadapted for machine emitting stationary sound. We demonstratein a case study, the Malfunctioning Industrial MachineInvestigation and Inspection (MIMII) baseline, how the use ofour denoising strategy leads to a sensible improvement of theunsupervised anomaly detection. Such approaches are capableto make sound-based monitoring of industrial processes morereliable.
Algorithmically Exploiting the Knowledge Accumulated in Textual Domains for Technical Support
Authors: Pau Daniele , Tarquini Isaia , Iannitelli Matteo , Allegorico Carmine
Published: February 2024

Processing natural language and extract relevant information in deep technical engineering domain remains an open challenge.

On the other side, manufacturers of high-value assets which often deliver product services through the equipment life, supporting maintenance, spare parts management and remote monitoring and diagnostics for issues resolution, have availability of a good amount of textual data containing technical cases with a certain engineering depth.

This paper presents a case study in which various Artificial Intelligence algorithms were applied to historical technical cases to extract know-how useful to help technicians in approaching new cases.

Initially the work process and available data are presented; the focus is on the outbound communication delivered from the technical team to the site operators, that is structured in 3 main paragraphs: event description, technical assessment, recommended actions.

The work proceeded in two parallel streams: the first concerned the analysis of event descriptions and technical assessments, aiming to detect recurring topics; the second concerned the analysis of recommended actions that technical support delivered trough years to site operators in order to create a library, which can help for enabling statistical data analysis, quality check review and being the starting point for further AI/NLP developments.

A text preprocessing was applied to both streams, consisted in defining standard and domain entities / stopwords and identifying / removing them, creating acronyms and synonyms maps in order to make context disambiguation, sentence splitting for the recommended actions, and finally text lemmatization. For every text the output of the preprocess was a series of keywords.

Then, unsupervised learning algorithms were applied. For this purpose, firstly, we applied feature extraction, bag of words (TF-IDF) and word embeddings (W2V, D2V, BERT), in order to transform our data from language domain into points in a n-features domain. Afterwards, different combinations of unsupervised algorithms were applied to split data into homogeneous groups, such as: LDA, K-means, Spectral, Affinity Propagation and HDBSCAN.

The combinations between language modeling and clustering were evaluated using the Silhouette score and visual analysis.

To validate the effectiveness, the developed NLP algorithms have been implemented into the current SW application used by technical support to perform the service. Moreover, a dedicated app to show trending topics and retrieve insightful information has been developed.

An outlook of the open technical challenges and on the future perspective of NLP applications in the work process are finally delivered.
Automated and Rapid Seal Wear Classification Based on Acoustic Emission and Support Vector Machine
Authors: Kandukuri Surya. T. , Shanbhag Vignesh. V. , Meyer Thomas. J. J. , Caspers Leo. W. , Noori Nadia. S. , Schlanbusch Rune
Published: February 2024

Seal wear in hydraulic cylinders results in fluid leakage, and instability of the piston rod movement. Therefore, regular inspection of seals is required using automated approaches to improve productivity and to reduce unscheduled maintenance. In literature, successful attempts have been made using acoustic emission-based condition monitoring to classify the seal wear.  However, limited attempts have been made to implement automated approaches to classify seal wear using acoustic emission features. Therefore, this article presents an automated approach for rapid and computationally economical diagnosis of seal wear using acoustic emission. The experiments were performed at varying pressure conditions on a hydraulic test rig that can simulate fluid leakage conditions similar to that of hydraulic cylinders. From the acoustic emission spectrum, the frequency bands were identified with peak power and by heterodyning the signal. This technique results in 10X downsampling without losing the information of interest. Further, the signal was divided into smaller “snapshots” to facilitate rapid diagnosis. In these tests, the diagnosis was made on short-time windows, as low as 0.3 seconds in length.  A set of time and frequency domain features were designed, and the Support Vector Machine (SVM) was trained on 60 % of the test cases generated with seals of three different conditions. The SVM was able to accurately classify the status irrespective of the pressure conditions, with an accuracy of ~99 %. Therefore, the proposed automated seal wear classification technique based on acoustic emission and SVM can be used for real-time monitoring of seal wear in hydraulic cylinders.
Bearings Fault Detection Using Hidden Markov Models and Principal Component Analysis Enhanced Features
Authors: Rehab Akthem , Ali Islam , Gomaa Walid , Fors M. Nashat
Published: February 2024

Asset health monitoring continues to be of increasing importance on productivity, reliability, and cost reduction. Early Fault detection is a keystone of health management as part of the emerging Prognostics and Health Management (PHM) philosophy. This paper proposes a Hidden Markov Model (HMM) to assess the machine health degradation. using Principal Component Analysis (PCA) to enhance features extracted from vibration signals is considered. The enhanced features capture the second order structure of the data. The experimental results based on a bearing test bed show the plausibility of the proposed method.
Ensemble of LSTM Networks for Fault Detection, Classification, and Root Cause Identification in Quality Control Line
Authors: Aydemir Gurkan , Avcı Adem , Kocakulak Mustafa , Bekiryazıcı Tahir
Published: February 2024

Industrial systems with multiple subsystems are monitored via various sensors to control the ongoing process. If the number of monitoring signals collected from these sensors is high and the number of faulty samples is low, then the machine learning methods may fail to provide effective solutions for fault detection and root cause identification. This paper proposes an efficient feature selection model based on the regularized LSTM neural networks, and fault detection and classification using an ensemble of binary LSTM classifiers. The model is verified in PHME Data Challenge 2021 which provides quality-control-pipeline monitoring data.
Aspek Hukum Nilai Pembuktian Dalam Akta Notaris
Authors: Bisyir Dzaky Alwan , Putra Mohamad Fajri Mekka
Published: February 2024

Notaris adalah pejabat umum yang disumpah oleh Negara dalam perannya untuk memberikan jasa hukum kepada masyarakat. Salah satu kewenangan Notaris yang utama yaitu membuat akta notaris atau akta autentik yang merupakan bentuk dari alat bukti tertulis. Akta autentik merupakan akta yang dibuat oleh atau dihadapan Notaris, dan dibuat di tempat akta dibuatkan serta bentuknya diatur secara tegas dalam undang-undang. Adapun permasalahan yang diangkat pada penelitian ini yaitu bagaimana nilai pembuktian akta notaris atas suatu perbuatan hukum oleh para pihak. Metode penelitian yang digunakan adalah bentuk penelitian hukum yuridis normatif. Jenis data yang digunakan yaitu data sekunder. Data sekunder didapat dengan cara melaksanakan pencarian literatur/studi kepustakaan yang terdiri dari bahan hukum primer, bahan hukum sekunder, dan bahan hukum tersier. Tanggung jawab notaris yaitu untuk menjamin kebenaran terdapatnya suatu perbuatan hukum yang dilakukan oleh para pihak. Dalam praktik, Notaris seringkali dianggap sebagai pihak dalam akta, namun nyatanya dalam akta notaris berisikan suatu hal yang dikehendaki oleh para pihak yang mengikatkan diri dalam suatu perjanjian. Notaris hanya berwenang menuliskan kehendak para pihak ke dalam akta notaris sehingga akta dimaksud hanya berisi suatu pernyataan atau perbuatan hukum asli dari kehendak para pihak yang ditulis menggunakan kalimat hukum. Apabila isi akta tersebut dipermasalahkan, maka masalah tersebut seharusnya merupakan masalah dari para pihak tersebut.
EDUKASI KESEHATAN PENCEGAHAN SCHISTOSOMIASIS MELALUI PENGGUNAAN ALAT PELINDUNG DIRI (APD) MASYARAKAT DI DESA PURO KECAMATAN LINDU KABUPATEN SIGI SULAWESI TENGAH
Authors: Jumain  , Wahyu  , Talindong Agustinus , Parmi  , Kareba Lexy , Rikwan
Published: February 2024

Schistosomiasis di Indonesia disebabkan Schitosoma japonicum ditemukan endemic di dua daerah Sulawesi Tengah, tepatnya di dataran Tinggi Lindu dan Dataran Tinggi Napu, penyakit ini pertama kali dilaporkan oleh Muller dan Tesch pada tahun 1937. Pada tahun yang sama, Desa Tomado dinyatakan sebagai daerah endemis schitoosomiasis oleh Brug dan Tesch. Masalah Schistosomiasis di daratan tinggi Lindu hanya menyangkut keong sebagai perantara dan cacing sebagai penular. Perilaku masyarakat dalam mendukung ataupun pencegahan terjadinya penularan penyakit sangat dipengaruhi oleh pengetahuan masyarakat terhadap penyakit tersebut. Pengetahuan yang baik terhadap suatu penyakit akan memberikan pengaruh untuk bersikap dan bahkan melakukan tindakan yang dapat mendukung upaya pencegahan penularan terhadap penyakit. Aspek sosial budaya mempunyai peranan dalam penularan schistosomiasis meliputi: pengetahuan, perilaku, kepercayaan masyarakat terhadap schistosomiasis.  Tujuan dari pengabdian masyarakat ini adalah untuk memberikan pengetahuan tentang pencegahan penyakit Schistosomiasis melalui penggunaan alat pelindung diri (APD) pada masyarakat di desa Puro Kecamatan Lindu Kabupaten Sigi. Berdasarkan hasil evaluasi, peserta dapat menjawab kuesioner setelah dilakukan pelaksanaan penyuluhan dengan hasil yang sangat baik sebesar 68.18% dan hasil yang baik sebesar 31.82%. Pengabdian masyarakat dilaksanakan melalui penyuluhan diikuti oleh warga desa Poru Kecamatan Lindu Kabupaten Sigi Sulawesi Tengah
Effectiveness of Wavelet and Fourier Transform Methods for Denoising ECG Apnea Signals
Authors: Rasyida Shabihah Zukro Aini  , Elsa Sari Hayunah Nurdiniyah
Published: February 2024

An Electrocardiogram (ECG) signal results from recording the heart's electrical activity. Currently, diseases originating from heart abnormalities still dominate the world. Therefore, doctors need to find an ECG signal that is free from noise, this cleaning process is called denoising. The denoising methods commonly used are the wavelet transform method, and the Fourier transform method. Testing was conducted on ECG signal data with abnormalities in Apnea with RR intervals filled with noise, making the QRS complex difficult to identify. As a result, the Discrete Wavelet Transform (DWT) method produces the best form of reconstruction, resembling the initial ECG signal, while the Fast Fourier transform (FFT) method produces the best signal-to-noise ratio (SNR) for the denoising process. So, we get a superior FFT method in the ECG signal denoising process.
Methodology for calculating the counterweight mass of a crank-and-rod mechanism
Authors:   Melentev V.S. Syichugov S.YU, Rodionov S.YU. Rekadze P.D.
Published: February 2024

A method for calculating the crank-and-rod mechanism for designing a piston drive or pump is proposed, providing a rational combination of mass, overall dimensions, values of wear and power loss in the bearing with maximum balancing. Calculations were carried out in the MathCAD program. The optimal ranges of the studied parameters are given. To calculate the mass of the counterweight, a criterion for the best balance of the crank mechanism was introduced. Determinations of displacements, velocities, accelerations and reaction forces are based on the d'Alembert principle with recording in vector form for each moment in time.

Keywords
crank-and-rod mechanism, internal combustion engine, balancing criterion, crankshaft, mass, counterweight, wear, power loss in the bearing