bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on personalized recommendation algorithm for micromechanical sensors based on cloud model
Authors: Geng Baojun 
Published: April 2023

Abstract
In order to improve the ability of micromechanical sensors to update data-matching nodes in real-time and speed up the establishment of a neighbor relationship between nodes, this paper proposes a personalized recommendation algorithm for micromechanical sensors based on the cloud model to improve the stability and real-time performance of micromechanical sensors. The algorithm uses the service attribute values of the cloud computing model and cloud clustering method to set feature term labels and establish a cloud service similarity matrix so as to meet the user-matched manufacturing service requirements. The intra-class clustering technique is applied to measure the clustering effect, and the evaluation function of each clustering number is calculated on the basis of considering the time sequence to determine the best clustering result to complete the personalized recommendation path for micromechanical sensors. To verify the application effect of the personalized recommendation algorithm for micromechanical sensors based on the cloud model, experiments are conducted. The results show that the recommendation algorithm in this paper can always control the node energy consumption below 2.5×103, and the average discovery delay is stable between 41-43 seconds. And the sensor response time is 12.1 seconds, and the average absolute deviation value is 0.23, which is nearly 1.3 times smaller than 0.53 and 0.52 of the collaborative recommendation algorithm and hybrid recommendation algorithm. It can be seen that the recommendation algorithm in this paper solves the problem of excessive neighbor discovery delay in the communication process of micromechanical sensors and effectively improves the personalized recommendation performance of micromechanical sensors.
Research on Innovation of Translation Teaching and Translation Strategies for College Students in Multimedia Background
Authors: Li Dan 
Published: April 2023

Abstract
In the multimedia context, it is important to enrich the teaching forms, challenge the traditional teaching concepts and realize the innovation of education mode. In this paper, a detailed review of translation strategies for college students in the multimedia context is presented, and the traditional GLR translation teaching analysis algorithm is analyzed. To compensate for the shortcomings of low translation teaching efficiency caused by over-fitting in the traditional GLR translation teaching analysis algorithm, a Bayesian model is constructed, and an adversarial neural network is built on its basis. Generate a translation teaching innovation model applicable to the translation teaching of university students. The translation teaching method is evaluated using the BLEU evaluation method. Experimental results: Both the correct translation rate of utterances based on the statistical computing method and dynamic memory algorithm reached 90%-95%. The traditional GLR translation teaching analysis algorithm achieved 95% correctness in recognizing declarative sentences, while the correctness rate for question and exclamation sentences was less than 95%. The correct translation rate of all the statements of the innovative model of translation teaching reached more than 97%. It can be seen that: The innovative model of translation teaching for college students with multimedia backgrounds is simpler and faster in calculation and more practical than other translation teaching algorithms, which is suitable for English translation work of college students and meets the proofreading needs of college students for translation teaching.
Design of a decentralized Internet-based control system for industrial robot robotic arms
Authors: Zhang Jin , Meng Wenjun , Yin Yufeng 
Published: April 2023

Abstract
To meet the needs of small and medium-sized processing plants by establishing a software and hardware platform for a robotic arm control system with a hierarchical structure and designing a robot robotic arm motion control system that is adaptable to multiple environments and cost-effective. In this paper, the industrial robot robotic arm motion control system is designed based on the consistent fusion tracking algorithm under the decentralized Internet. While using the VisualC++ development environment for writing human-machine interface programs using the MFC framework, the device controls the robotic arm body to complete predetermined movements or operational tasks based on command information, sensing information, and the robot controller. The AMS1086CD-3.3 low-voltage differential linear regulator chip used in this design effectively implements the circuit design from 4.8V to 3.4V and successfully meets the 3.4V voltage supply required by the controller. The industrial robot robotic arm control system adopts an adaptive backstepping algorithm controller, and the error of the tracking system at 0 seconds in the simulation results is always kept within the range of [-1~1] that meets the requirements, which effectively reduces the control error of the robotic arm position. Therefore, the robotic arm control studied in this paper is composed of a complete control system in hardware and software, and the designed adaptive backstepping algorithm controller achieves the demand for good control performance of the robotic arm proper.
The boundedness of functional differential equations of hospital financial software under information
Authors: Liu Jingguang 
Published: April 2023

Abstract
In order to be efficient and accurate monitoring and early warning hospital financial software capabilities of hospitals, the author presents the working model of the different operations of the solutions should be used for financial forecasting in hospitals, in order to provide useful information to decision makers. Those. By the equality of the measure of suspension of the function of the difference between the difference and the difference between the difference in some cases, and by the use of the limits of the Solving the problem of the difference in the difference between the difference, the limit of the solution of the type of delay measure the difference. yes, and then the deep belief network is studied with the data set taken to measure to get the effects of the network; Finally, the deep belief network model is used for financial forecasting, which is compared with other methods in machine learning. The results show that with the increase of the number of network layers, the recognition accuracy is also improved. However, the number of network layers is not optimal. When the number of network layers is 3, the recognition performance is the best, which shows that the number of hidden layers in the deep trust network needs special analysis in combination with specific applications and practical information, in order to obtain the best number of network layers. It is clear that the deep belief network model has the best data fitting performance in terms of root mean square error and goodness of fit.
Deep learning model-based brand design 3D image construction
Authors: Huang Zeping , Chen Mengtian 
Published: April 2023

Abstract
In order to have a better product display and thus attract consumers’ purchases and increase the economic benefits of the enterprise, in this paper, we propose a deep learning model for brand 3D image design. A feedforward neural network that estimates the error of previous layers based on the error of the output layer assigns the convolutional kernel weight parameters of the network in the interval and stops when the error reaches a preset accuracy or reaches a preset maximum learning count. The locally-aware convolutional neural network acquires local features that are finer than the global features and outputs the feature maps of the convolutional layers after passing the activation function to calculate the sensitivity of the sampled layer units. Given the sensitivity information of the feature map, the gradient of the kernel function weights is obtained, and the updated parameters are trained to achieve feature map recursion and solve the image boundary problem. A 3D recurrent neural network is constructed using data-driven multiple or single images, transformed into a low-dimensional feature matrix, processed with 3D pixel data, extracted perceptual features, and generated high-resolution images. The analysis of the results shows that the CD value of the used model is 0.477 and the EMD value is 0.579, which makes the constructed 3D images with more obvious detail levels and more accurate structural design, while the model of Pixel2Mesh focuses more on surface information, so the generated model is more realistic and closer to the real image.
Improvement in Efficiency of Converter Transformer by The Reduction of Stray Losses
Authors: Kothavade Jayesh , Kundu Prasanta 
Published: April 2023

In High Voltage Direct Current Transmission (HVDC) system, converter transformer (CT) is an essential part of the system. Losses that occur in the CT are copper loss, stray loss, and core loss. The stray loss occurs in the transformer's metallic parts, such as transformer tank, which is 10% to 15% of the total loss. Current flowing through the CT is non-sinusoidal current, so more losses are produced in the CT than normal power transformer. In this paper, horizontal wall shunt is used to reduce stray loss in CT and compare the performance with vertical wall shunt. These stray losses calculated using the 3-D finite –element analysis (FEA). A 315 MVA CT is considered as a case study to calculate stray losses with and without wall shunt. Results show that the horizontal wall shunt is effective compared to vertical wall shunt; additionally, the stray loss is reduced as the wall shunt thickness is increased. Therefore, the efficiency of CT is increased due to a decrease in stray loss.
Magnetic constraints and susceptible inversions of Balapur Fault at central Kashmir Basin, NW Himalaya
Authors: Dar A. M. , Bukhari S. K. 
Published: April 2023

Research subject. Subsurface investigations of the Balapur Fault at central Kashmir Basin, NW Himalaya through groundmagnetic surveys and data interpretations. Materials and methods. The total magnetic intensity data was obtained using ground magnetic surveys carried out by proton precession magnetometers at 15 m spacing. The magnetic constraints and inversions of the Balapur fault in the central Kashmir basin of NW Himalaya were analyzed. Results. The total magnetic intensity was found averaging at 97.7 with 45.8 nT as magnetic minima and 140.9 nT as magnetic maxima. The minima’s ranging from 45.8 and 55.8 nT in the gridded profile are inferred at the Balapur fault. Further, the fault-related susceptibility index was recorded from 0.0035 SI to 0.0015 SI, and the observed and predicted response values were found ranging between 67.1 to 87.7 and 67.4 to 86.6 nT respectively. Conclusion. The study suggests that the Balapur fault in the central Kashmir has produced high subsurface hydraulic activities and, therefore, evident low magnetic anomalies. The analysis reveals a thick minima region related to the fault and also indicated the presence of associated structures with the main Balapur fault segment.
Inter/Trans-Disciplinarity as a Platform for Seeking Universal Common Ground: From Speculation to Pragmatism Through Kristina Pulejkova's Wedding Route Art Project
Authors: Frangovska Ana 
Published: April 2023

This paper aims to present one specific case study of the inter/trans-disciplinarity and inter/trans-mediality in Macedonian contemporary art – a project of the young Macedonian artist Kristina Pulejkova. The project, titled Wedding Route, is an immersive installation that deals with the overlapping of knowledge gained from the natural sciences and arts, while also questioning politics, ecology, technology.
Wedding Route deals with the life cycle and migration of the critically endangered European eel. No matter where they live, once sexually mature, they turn into a silvery color and make their final arduous journey back to Sargasso Sea, driven by their instinct. Lake Ohrid (the largest in Macedonia) is currently being artificially populated with eels, as this animal has been unable to migrate into the lake’s waters since 1962 when the first hydroelectric dam was built. Globally, the European eel population faces rapid declination, and its story is very much that of man-made borders, overfishing and death caused by habitat decline and climate change, hence preventing its millions of years old migration back to the Sargasso Sea.
Through an inter and trans-disciplinary approach that combines art, science, and technology, working with moving pictures, sound, and installation, Pulejkova aims to build subjective narratives relying on scientific data and principles. The project and its outcome is a pure example of speculative pragmatism, since through theoretical exploration and artistic visual simulation of the location and the appearance of the act of eel spawning (since scientists have so far only speculated on the occurrence of this mysterious event) she offers a pragmatic discussion on ecology, migration, and politics in general.

Article received: December 23, 2019; Article accepted: January 31, 2020; Published online: April 15, 2020; Original scholarly paper
What Does it Mean to be a Man? The Aesthetics of Telling Crisis’ and Conflicts in Ngebe Gaa and Detox
Authors: Mbogo Fredrick 
Published: April 2023

This paper is a reading of two films, namely, Ngebe Gaa (2019) and Detox (2016), in an attempt to discuss a supposed crisis of manhood in Eldoret, and the larger part of the North Rift Valley area of Kenya. The paper employs perspectives from canonical African works such as Okot P’Bitek’s Song of Lawino and Wole Soyinka’s The Lion and the Jewel, as well as Ngugi wa Thiong’o’s I Will Marry When I Want to uncover examples of the meanings of “man” in patriarchal settings but also in situations where shifts in economic, social and political life have taken place. In Ngebe Gaa, for instance, Mzee Maina, the main character, is set in his ways. His father-to-daughter relationship with his biological daughter, Chemesunde, is very much defined by reliable conceptions of being a man in his society. But this is thrown into confusion once matters get out of hand for him financially. This paper is thus interested in this troubled in-between identity that redefines “man” within such rural and peri-urban spaces, where the economy is not diverse, and there is a seeming non-changing culture on the surface but rapid reformulations of ideas at individual levels. Eldoret and its environs, where these two films are set, occupy such spaces. They can never escape the dominant suggestion that is specifically Kalenjin on what a “man” is, especially because the majority of the people around Eldoret and its outskirts are predominantly of the Kalenjin ethnic communities. Through cross-references from texts that explore the Kalenjin world view(s) such as in Kiprotich Arap Sambu’s The Misiri Legend Explored and Bill Ruto and Kipng’etich Maritim’s Kipsigis Heritage, this paper digs into the meanings of “man” and how often times they have been undermined in the worlds presented in Ngebe Gaa and Detox.

Article received: December 18, 2019; Article accepted: January 31, 2020; Published online: April 15, 2020; Original scholarly paper
Tacktical Aesthetics: A Propositional Aesthetic Language Starting from Philosophies of Relationality
Authors: Bufardeci Louisa 
Published: April 2023

Tacktical aesthetics is a propositional aesthetic language for an art that seeks to reinforce and reproduce values present in philosophies of relationality in place of those present in contemporary systems of domination. With this text I present some partial declarations about tacktical aesthetics that draw on Indigenous and feminist philosophies of relationality and on ideas of resingularization. As well as reflecting on the value of neologisms for this type of project, I discuss the various implications for tacktical aesthetics, including its relation to contemporary art and shock tactics, and the double bind that occurs when privileges inherent in contemporary art practices that reproduce or reinforce systems of domination are brought into question. The question that remains relates to how tacktical aesthetics might develop as an art practice.

Article received: April 17, 2020; Article accepted: July 6, 2020; Published online: October 15, 2020; Original scholarly paper
Composing the Actual: Brainwave Sonification as Materialized Intensity of Virtual Relations
Authors: Jovićević Jasna 
Published: April 2023

My recently performed experimental music performance I Sit and Worry About Her comprises a transdisciplinary research project that explores the function of large-scale cortical networks and application of EEG, monitoring the brainwaves in music making and perceiving. The project aims at understanding the activity of the brain and its electric impulses as an affect or intensity of virtual relations. There are several assemblages that relate rhizomatically in different dimensions inside an event; from minor gestures in the brain’s electric impulse continuum, its self-enjoyment and experience of sound frequencies, to the affective modality that creates authentic collective identity during the performance, thus questioning the unity of movement between subject and object. The project involves playing pre-recorded music content back to the performance space in real time, triggered by a threshold of a certain brainwave frequency; thus, it functions as a sonification of the brain’s electricity – a kind of materialization of a virtual property. Pre-recorded music is perceived in the performing space before the subject becomes a knower of the actualized potential, before she perceives her thought. Does that make me a composer of the perceiver’s actual dimension? If we apply this performance technique, is it possible to actualize the virtual open-social identity, even while involved in a social collaborative interaction?

Article received: April 30, 2020; Article accepted: May 30, 2020; Published online: October 15, 2020; Original scholarly paper
Melodies, Moods, and The Zone as a Hole
Authors: Priest Eldritch 
Published: April 2023

I traveled to Chernobyl in June 2018 with a small group of academics and artists to think about what dwelling in and passing through a zone of exclusion might entail, not in a metaphysical sense but also not not in a metaphysical sense. As I learned, thinking about The Zone (as I’ll call it) is not a straightforward affair. On the one hand The Zone is exactly what you might think it is – a radioactive territory whose crumbling ruins and growing wildlife bear witness to the failure of the soviet nuclear dream. Yet on the other it’s also not what you think it is, like a hole is not the nothing it appears to be but a something that, strictly speaking, it isn’t. Because of this ontological uncertainty The Zone is not only something to wander in but something to be wondered about. And as such, it may be better dreamed than simply thought of. Drawing on my zonal meanderings and a speculative-pragmatic form of acoustic ecology, as well as employing a liberal dose of poetic licence, I develop a fabulation that takes a stroll through a forgotten cemetery, an improvised melody played beneath a secret radar array, and a daydream had in a dilapidated post office as expressive of a thought experiment whose meaningful result is more a fictional achievement than a factual reckoning. Images and sounds from my peregrinations through The Zone figure in this work as elements that advance a story about a future people displaced by climate change who evolve the ability to lure affections from environmental spaces by casting melodies into them. In this future history we learn about the costs of noise and the nature of holes; we discover that media travel backwards in time, and we sense not what The Zone is but what mood it’s in.

Article received: April 25, 2020; Article accepted: May 30, 2020; Published online: October 15, 2020; Original scholarly paper
Enter the Event: How is Immanent Participation?
Authors: Ramos Ana 
Published: April 2023

This paper starts with the premise that the body is the primal media: a “body-worlding”. This event folds the world into its becoming-self, and unfolds a qualitative vibration. This is the dance of affect: being affected and affecting in return. Our daily lives are made of affective states. The concepts affective immersion and incorporeal materiality are here articulated in order to think affect embodiment, and embodiment itself, as body-worlding. It creates the conditions to rethink media, interactivity, and participatory art. Affective immersion occurs every time we are totally immersed in a situation’s unfolding dynamic relation: we become the unfolding relationality. The paper argues for a materiality real but abstract that has been called “incorporeal”. This is the affective territory where affective immersion happens. Deleuze and Guattari would call this territory a “plane of immanence”.

Article received: April 23, 2020; Article accepted: June 6, 2020; Published online: October 15, 2020; Original scholarly paper
The Phenomena of the 21st Century Image: Instagram Iconography as an Extension of the Dominant Ideological Order
Authors: Vukčević Ana 
Published: April 2023

In the digital and information society in which we live right now, image has the special status of one of the most attractive ways to communicate with others, transmit meaning and define one’s identity. Following Manovich’s theoretical concepts of Instagram class and Instagramism, I analyze the image shared via this platform in order to understand how it corresponds with current social and ideological paradigms. My premise is that Instagram image and its meaning and semantic structure are highly determined by dominant neoliberal and capitalist norms and values, class differences and power relations. It is formed by unwritten social codes that give visibility only to certain lifestyles, choices and preferences that reflect westernized upper classes. These social codes, along with aesthetic norms that make up what Instagramism is, deny adequate representations to marginalized groups and classes whose identity cannot fit into this cultural prototype. Therefore, Instagram as a platform and image that it produces are dominantly elitist and pro-capitalist by their very nature.

Article received: April 25, 2020; Article accepted: June 6, 2020; Published online: October 15, 2020; Original scholarly paper