Hasil untuk "Art"

Xiaofang Li, Chunli Lei, Xiang Bai et al.

Condition monitoring of rotating machinery is critical for ensuring industrial safety and operational reliability. As a core component of intelligent diagnostic systems, domain adaptation methods have achieved notable progress in mechanical fault diagnosis. However, most existing approaches presume a fully shared label space between source and target domains, limiting their effectiveness under partial domain adaptation scenarios commonly encountered in industrial practice. In addition, they often struggle with classification uncertainty near decision boundaries. To address these challenges, this paper proposes a Selective Adversarial Augmentation Network (SAAN) for cross-domain rolling bearing fault diagnosis with partial label space alignment. The proposed framework designs a multi-level feature extraction module to enhance transferable feature representation and a Balanced Augmentation Selective Adversarial Module (BASAM) to dynamically balance class distributions and selectively filter irrelevant source classes, thereby mitigating negative transfer and achieving fine-grained class alignment. Furthermore, an uncertainty suppression mechanism is put forth to reinforce classifier boundaries by minimizing the impact of ambiguous samples. Comprehensive experiments conducted on public and proprietary bearing datasets demonstrate that SAAN consistently surpasses state-of-the-art benchmarks in diagnostic accuracy and robustness, providing an effective solution for practical applications under class-imbalanced and variable operating conditions.

Bingxun Zhao, Yuan Chen

Underwater vision is fundamental to ocean exploration, yet it is frequently impaired by underwater degradation including low contrast, color distortion and blur, thereby presenting significant challenges for underwater object detection (UOD). Most existing methods employ underwater image enhancement as a preprocessing step to improve visual quality prior to detection. However, image enhancement and object detection are optimized for fundamentally different objectives, and directly cascading them leads to feature distribution mismatch. Moreover, prevailing dual-branch architectures process enhancement and detection independently, overlooking multi-scale interactions across domains and thus constraining the learning of cross-domain feature representation. To overcome these limitations, We propose an underwater cross-domain fusion Transformer detector (UCF-DETR). UCF-DETR jointly leverages image enhancement and object detection by exploiting the complementary information from the enhanced and original image domains. Specifically, an underwater image enhancement module is employed to improve visibility. We then design a cross-domain feature pyramid to integrate fine-grained structural details from the enhanced domain with semantic representations from the original domain. Cross-domain query interaction mechanism is introduced to model inter-domain query relationships, leading to accurate object localization and boundary delineation. Extensive experiments on the challenging DUO and UDD benchmarks demonstrate that UCF-DETR consistently outperforms state-of-the-art methods for UOD.

Haoyan Ding, Wenyuan Sun, Guoyan Zheng

Periacetabular osteotomy (PAO) is an effective approach for the surgical treatment of developmental dysplasia of the hip (DDH). However, due to the complex anatomical structure around the hip joint and the limited field of view (FoV) during the surgery, it is challenging for surgeons to perform a PAO surgery. To solve this challenge, we propose a robot-assisted, augmented reality (AR)-guided surgical navigation system for PAO. The system mainly consists of a robot arm, an optical tracker, and a Microsoft HoloLens 2 headset, which is a state-of-the-art (SOTA) optical see-through (OST) head-mounted display (HMD). For AR guidance, we propose an optical marker-based AR registration method to estimate a transformation from the optical tracker coordinate system (COS) to the virtual space COS such that the virtual models can be superimposed on the corresponding physical counterparts. Furthermore, to guide the osteotomy, the developed system automatically aligns a bone saw with osteotomy planes planned in preoperative images. Then, it provides surgeons with not only virtual constraints to restrict movement of the bone saw but also AR guidance for visual feedback without sight diversion, leading to higher surgical accuracy and improved surgical safety. Comprehensive experiments were conducted to evaluate both the AR registration accuracy and osteotomy accuracy of the developed navigation system. The proposed AR registration method achieved an average mean absolute distance error (mADE) of 1.96 ± 0.43 mm. The robotic system achieved an average center translation error of 0.96 ± 0.23 mm, an average maximum distance of 1.31 ± 0.20 mm, and an average angular deviation of 3.77 ± 0.85°. Experimental results demonstrated both the AR registration accuracy and the osteotomy accuracy of the developed system.

Qing Chen, Aihuang Guo, Yaodong Cui

To achieve the anticipated performance of massive multiple input multiple output (MIMO) systems in wireless communication, it is imperative that the user equipment (UE) accurately feeds the channel state information (CSI) back to the base station (BS) along the uplink. To reduce the feedback overhead, an increasing number of deep learning (DL)-based networks have emerged, aimed at compressing and subsequently recovering CSI. Various novel structures are introduced, among which Transformer architecture has enabled a new level of precision in CSI feedback. In this paper, we propose a new method named TransNet+ built upon the Transformer-based TransNet by updating the multi-head attention layer and implementing an improved training scheme. The simulation results demonstrate that TransNet+ outperforms existing methods in terms of recovery accuracy and achieves state-of-the-art.

Emad Farahat, Holger Gärtner

The southern Mediterranean region, particularly North Africa, is a crucial area for biodiversity conservation. However, the impacts of climate change on plant species in this region are not well understood. Dendroecology, the study of tree rings, is a valuable technique for analyzing the effects of environmental changes on woody plants over time. In this study, we intend to assess the state of the art in dendrochronological research in North Africa and identify knowledge gaps and limitations in the field. The period of analysis spans from 1979 to 2023. We used all the available literature in Dendrobox and Google Scholar during this period. Our study revealed several research gaps in the region, including the need for more studies on the history of forest fires and their relationship to climate conditions in Morocco, Algeria, and Tunisia, the impact of climate on the anatomical characteristics of growth rings, and the effects of climate change on tree species diversity and forest health. Applying this technique in the future would allow for detailed insights into the effect of climate on the internal structure and growth of forest trees. The findings of this study will help guide future research and contribute to a better understanding of the climate-growth relationship of woody plants in North Africa.

Omer Ali, Mohamad Khairi Ishak, Muhammad Kamran Liaquat Bhatti et al.

The Internet of Things (IoT) is an extensive network of heterogeneous devices that provides an array of innovative applications and services. IoT networks enable the integration of data and services to seamlessly interconnect the cyber and physical systems. However, the heterogeneity of devices, underlying technologies and lack of standardization pose critical challenges in this domain. On account of these challenges, this research article aims to provide a comprehensive overview of the enabling technologies and standards that build up the IoT technology stack. First, a layered architecture approach is presented where the state-of-the-art research and open challenges are discussed at every layer. Next, this research article focuses on the role of middleware platforms in IoT application development and integration. Furthermore, this article addresses the open challenges and provides comprehensive steps towards IoT stack optimization. Finally, the interfacing of Fog/Edge Networks to IoT technology stack is thoroughly investigated by discussing the current research and open challenges in this domain. The main scope of this study is to provide a comprehensive review into IoT technology (the horizontal fabric), the associated middleware and networks required to build future proof applications (the vertical markets).

Marilena Cozzolino, Antonio De Simone, Vincenzo Gentile et al.

The application of non-invasive geophysical techniques and digital surveys to explore cultural heritage is becoming a very important research field. The capability to detect inner and superficial changes in the inspected surfaces allows for imaging spatial inhomogeneity and material features and planning targeted conservation and restoration interventions. In this work, the results of a research project carried out on the famous Battle of Issus Mosaic, also known as the “Alexander Mosaic”, are presented. It is a masterpiece of ancient art that was found in 1831 in the House of Faun, the most luxurious and spacious house in Pompeii. It is notable for its size (3.41 × 5.82 m), the quality of workmanship and the subject that represents the culminating phase of the battle between Alexander Magno’s army and the Persian one of Darius. In 1916, it was moved inside the National Archaeological Museum of Naples, where the original horizontal location was changed with a vertical arrangement supported by an inner wooden structure, whose exact manufacture is unclear. Today, the mosaic is affected by important instability phenomena highlighted by the appearance of the significant detachment of tiles, superficial lesions and swelling of the surface. Given the important need to preserve it, a high-detail diagnostic study was realized through a digital survey and non-invasive geophysical surveys using ground-penetrating radar (GPR). The investigation was repeated after two years, in 2018 and 2020, with the aim of verifying the evolution of degradation. The work provided a high-resolution estimate of the state of the health of the mosaic and allowed for obtaining a three-dimensional reconstruction of the internal mosaic structure, including the formulation of hypotheses on the engineering supporting works of the twentieth century; this provides an essential tool for the imminent conservation project, which also implies restoring the original horizontal position.

Neusa R. Adão Martins, Neusa R. Adão Martins, Simon Annaheim et al.

The objective measurement of fatigue is of critical relevance in areas such as occupational health and safety as fatigue impairs cognitive and motor performance, thus reducing productivity and increasing the risk of injury. Wearable systems represent highly promising solutions for fatigue monitoring as they enable continuous, long-term monitoring of biomedical signals in unattended settings, with the required comfort and non-intrusiveness. This is a p rerequisite for the development of accurate models for fatigue monitoring in real-time. However, monitoring fatigue through wearable devices imposes unique challenges. To provide an overview of the current state-of-the-art in monitoring variables associated with fatigue via wearables and to detect potential gaps and pitfalls in current knowledge, a systematic review was performed. The Scopus and PubMed databases were searched for articles published in English since 2015, having the terms “fatigue,” “drowsiness,” “vigilance,” or “alertness” in the title, and proposing wearable device-based systems for non-invasive fatigue quantification. Of the 612 retrieved articles, 60 satisfied the inclusion criteria. Included studies were mainly of short duration and conducted in laboratory settings. In general, researchers developed fatigue models based on motion (MOT), electroencephalogram (EEG), photoplethysmogram (PPG), electrocardiogram (ECG), galvanic skin response (GSR), electromyogram (EMG), skin temperature (Tsk), eye movement (EYE), and respiratory (RES) data acquired by wearable devices available in the market. Supervised machine learning models, and more specifically, binary classification models, are predominant among the proposed fatigue quantification approaches. These models were considered to perform very well in detecting fatigue, however, little effort was made to ensure the use of high-quality data during model development. Together, the findings of this review reveal that methodological limitations have hindered the generalizability and real-world applicability of most of the proposed fatigue models. Considerably more work is needed to fully explore the potential of wearables for fatigue quantification as well as to better understand the relationship between fatigue and changes in physiological variables.

Natalia A. Drovaleva

Numerous papers have been written on the topic of portrait creation in literature, viewing it both directly and indirectly, however it remains a topical issue up to this day. It is evidently necessary to systemize the data, gathered by numerous literary research on the portrait characteristics. In this regard, it appears productive to point out the theoretical and methodological particularities of researching a character’s appearance in literature, the existing research notions on the portrait in fiction literature and visual arts and the notable peculiarities of creating a character’s appearance, using examples from prose works of the Silver Age specifically. This period saw the rise of tendencies that consisted of moving away from an actual depiction of reality and the obligatory establishment of connections between external and internal features of the character. By examining various scholarly theories, the author points out that as a result of close attention to the artistic portrait, typical for the end of the 20th century, many works of that period that studied the particularities of characters’ appearance mirrored the notions about graphic and artistic portraits. Traditionally the portrait was researched in connection with the general history of art, and its depicting and artistic function was being actualized. However, it is not the primary function of the portrait, even if it could prove to be productive to research it in the case of painting writers or writing painters (for example M.A. Voloshin and K.A. Korovin). The author draws a specific conclusion that it would be impractical to distinguish a portrait as a closed integrity, and that the phrase “appearance visualization” seems to be the most fitting for describing the portrait features in works of fiction, as opposed to the literary portraits in biographical literature that portray and recreate the image of an existing person.

Alfian Candra Ayuswantana, Agus Sachari, Irfansyah Irfansyah

Abstrak Wayang Jekdong hidup dan berkembang dalam konteks sosial-budaya Arek yang sangat khas. Budaya Arek sebagai sub-budaya Jawa Timur menyebar dari pantai utara Jawa Timur ke pedalaman sepanjang aliran sungai Brantas menyebabkan pengaruh nilai-nilai Islam kental terasa pada budaya Arek. Nilai-nilai Islam yang kuat salah satunya dapat dilihat dalam wayang boneka Jekdong sebagai artefak budaya masyarakat budaya Arek. Penelitian ini berfokus pada pengamatan visual pada boneka Jekdong yang mewakili nilai-nilai Islam melalui bentuk boneka. Pengamatan dilakukan dengan pendekatan etnografi melalui proses analisis komponen visual Spradley dalam wayang Jekdong yang didukung oleh teori semiotika dyadic Saussure-Barthes. Hasil analisis menunjukkan bahwa ada pengaruh nilai-nilai Islam yang diwakili dalam bentuk boneka wayang Jekdong terutama pada tokoh Dewa (dewa atau dewa tertinggi) dan Resi (pertapa). Bentuk budaya Arek sebagai komunitas Islam pesisir sangat jelas terlihat terutama pada atribut pakaian yang ditampilkan seperti keberadaan turban putih, khaftan, qamis, dan sepatu Persia. Diharapkan dengan penelitian ini dapat memberikan kontribusi ilmiah tentang wayang golek Jekdong dalam sudut pandang ilmiah seni di provinsi Jawa Timur khususnya.   Kata Kunci: budaya Arek, busana, wayang Jekdong, Islam pesisir   Abstract The Jekdong puppets lives and develops in a very distinctive Arek socio-cultural context. The Arek culture as East Java sub-culture spreads from the north coast of East Java to the depths along with the Brantas river flow causing the influence of Islamic values upon the Arek Culture. Strong Islamic values, one of them can be seen within Jekdong puppets as a cultural artifact of the Arek society. This research focuses on visual observations on Jekdong puppets that represent Islamic values through the form of puppets. Observations performed with an ethnographic approach through a process of Spradley's visual components analyzing in Jekdong puppets and supported by the dyadic semiotics theory of Saussure-Barthes. The results of the analysis show that there are influences of Islamic values that represented in the form of Jekdong puppets, especially in Dewa (deity or supreme being) and Resi (hermits or saints) figures. The form of Arek culture as an Islamic coastal community is very clearly visible, especially in the fashion attributes that displayed such as the existence of white turban, Kaftan, Qamis, and Persian shoes. It expected that this research could provide scientific contributions about the Jekdong puppet show puppet in the scientific viewpoint of art, particularly in East Java province.   Keywords: Arek culture, coastal Islam, fashion, Jekdong puppet

Paloma Mara de Lima Ferreira, Adriano Rolim da Paz, Juan Martín Bravo

ABSTRACT Hydrological models (HMs) can be applied for different purposes, and a key step is model calibration using objective functions (OF) to quantify the agreement between observed and calculated discharges. Fully understanding the OF is important to properly take advantage of model calibration and interpret the results. This study evaluates 36 OF proposed in the literature, considering two watersheds of different hydrological regimes. Daily simulated streamflow time-series, using a distributed hydrological model (MGB-IPH), and ten daily streamflow synthetic time-series, generated from the observed and calculated streamflows, were used in the analysis of each watershed. These synthetic data were used to evaluate how does each metric evaluate hypothetical cases that present isolated very well known error behaviors. Despite of all NSE-derived (Nash-Sutcliffe efficiency) metrics that use the square of the residuals in their formulation have shown higher sensitivity to errors in high flows, the ones that use daily and monthly averages of flow rates in absolute terms were more stringent than the others to assess HMs performance. Low flow errors were better evaluated by metrics that use the flow logarithm. The constant presence of zero flow rates deteriorate them significantly, with the exception of the metrics TRMSE (Transformed root mean square error) did not demonstrate this problem. An observed limitation of the formulations of some metrics was that the errors of overestimation or underestimation are compensated. Our results reassert that each metric should be interpreted specifically thinking about the aspects it has been proposed for, and simultaneously taking into account a set of metrics would lead to a broader evaluation of HM ability (e.g. multiobjective model evaluation). We recommend that the use of synthetic time series as those proposed in this work could be useful as an auxiliary step towards better understanding the evaluation of a calibrated hydrological model for each study case, taking into account model capabilities and observed hydrologic regime characteristics.

M. M. Mirzemagomedova, M. M. Muradov

Objectives. The article is devoted to the development of a software application that allows you to automate methods for collecting and processing information, as well as perform time-consuming analytical calculations. Embarcadero C ++ Builder XE, a visual object-oriented programming language, was used to implement a software application. The software being developed is created to solve the following tasks: a comparative analysis of innovative development indicators for the selected years; selection of a projected indicator, building a regression model; making a forecast with a lead time of 3; determination of the confidence interval; the formation of a graphical display of observable and calculated values, the selected indicator of innovative development.Method. In a software application, formalized methods were used as a mathematical model, one of which is multiple regression. Regression analysis consists in defining an analytical expression of a relationship in which a change in a single quantity, called a dependent or productive attribute, is due to the influence of one or several independent quantities (factors).Result. With the help of the developed software product, you can not only automate time-consuming methods of collecting and processing information, but also per-form complex analytical calculations using the multiple regression method.Conclusion. Embarcadero C ++ Builder XE is by far the latest state-of-the-art technology and C ++ programming environment. With C ++ Builder, XE has become faster to do the job of creating high-quality applications for Windows-based applications, due to the rapid writing of code, new tools and components.

Saleh Albahli

Since the introduction of just-in-time effort aware defect prediction, many researchers are focusing on evaluating the different learning methods, which can predict the defect inducing changes in a software product. In order to predict these changes, it is important for a learning model to consider the nature of the dataset, its unbalancing properties and the correlation between different attributes. In this paper, we evaluated the importance of these properties for a specific dataset and proposed a novel methodology for learning the effort aware just-in-time prediction of defect inducing changes. Moreover, we devised an ensemble classifier, which fuses the output of three individual classifiers (Random forest, XGBoost, Multi-layer perceptron) to build an efficient state-of-the-art prediction model. The experimental analysis of the proposed methodology showed significant performance with 77% accuracy on the sample dataset and 81% accuracy on different datasets. Furthermore, we proposed a highly competent reinforcement learning technique to avoid false alarms in real time predictions.

Terence Chorba

Sinan ALPER, Ecem KUNTER, İrem UZ

Past studies showed that self-construal could be manipulated by the differences in language use; for example, the use of first-person singular pronouns in a sentence prime independent self-construal whereas first person plural pronouns prime interdependent selfconstrual. In addition, it has been demonstrated that women are more sensitive to such manipulations. In the current study, self-construal was manipulated by the use of “I” or “we” pronouns and it was investigated whether Turkish women are also more sensitive to such manipulations in pronoun types. The sample consisted of 155 university students. Participants were asked to state how much they agree with statements including either “I” or “we” as a personal pronoun. The results showed that, in general, women were more interdependent as compared to men, but there was no sex difference with regard to independence. Pronoun type alone did not influence self-construal, but it interacted with sex in predicting interdependent self-construal. Accordingly, the use of “we” as a pronoun increased interdependence only among women. The current study contributed to Turkish psychological literature by demonstrating that self-construal can be primed by manipulating pronoun types and women are more susceptible to such manipulations. Implications for future research were discussed.

Dorofeev, Daniil

The acoustic and visual understanding of man is a hotly debated issue in contemporary culture. I found it important therefore to look at certain historical, cultural, aesthetical, philosophical and anthropological peculiarities of human image in Antiquity as reflected in the arts. The following aspects deserve special attention: the visualization of sense and values; the interaction of “ethos” (character) and “soma” (body); the influence of the plastic images on the narrative ones; a normative typology of man; the significance of visual and acoustic perception. In this context, I studied ancient physiognomic; Aristotelian understanding of the acoustic and plastic arts; genesis, evolution and significance of the sculptural portrait image of man and the image of philosopher in Antiquity. I also pay attention to some methodological aspects of the study. As a result, there emerges an integral image of philosopher, which allows looking at the Greek culture from a fresh angle.

Marzenna JAKUBCZAK

Stefan Muthesius

This article is based on what has been outlined in ‘Part I’ and on additional references to other new German work, as well as to articles by two of the protagonists of the 1870s and 1880s, Anton Springer and Moritz Thausing. The central issue is the nineteenth century’s desire for a Verwissenschaftlichung of the subject, to render the subject ‘purely scientific’. Principally this concerns the way in which older kinds of connoisseurship were juxtaposed to the new claims of a strictly ‘historical’ approach. Much shorter sections touch on aspects of style, iconography and form, as well as on the history of the provision of illustrations.

Galina V. Burmenskaya

The article shows the role of the attachment system (child-mother interactions) in development of a wide spectrum of individual personality characteristics. Emotional attachment of the child to mother is considered as a complicated system of internal regulation and a basis of typology of mental development. Results of a series of empirical studies show the connection between the type of attachment, formed at the early stages of child development, and characteristics of his/her autonomy, consciousness (self-concept and self-esteem) and empathy in preschool and middle childhood.

In the article design features of a genre of philosophical ode on an example «Ode, chosen of Iova » by M.V. Lomonosova are analyzed, two-planned character of this genre form as original dialogue of the God and Person is shown, the concept of individual words as attempts to transfer all Real is developed, influence of this genre on the further development of the literature is traced.