Power Transformation Research Articles

Application of Simple Freight Ropeways in Power Transmission and Transformation Projects

Application of Simple Freight Ropeways in Power Transmission and Transformation Projects

Prospects and Management Strategies for High Noise, Soft Geological and Strong Earthquake Environments

With global warming, environmental degradation is becoming increasingly severe, and the impact on power transmission and transformation equipment is increasing. The changing environment will also have cross impacts, and people are paying more attention to environmental protection. Therefore, under complex environmental conditions, research on new technologies continues, and the emergence of new technologies can improve efficiency and reduce costs. This article focuses on three typical environments: noise environment, soft geological environment, and seismic environment, with a focus on analysing their latest technological situation and management strategies. At the same time, it proposes future development directions, guides the emergence of new business models and service methods, and promotes industry innovation and change.

Application of parametric statistics to visual acuity data

This study uses Tukey's power transformations to identify the visual acuity notation most suitable for parametric statistical methods. The study analyzed both original measurement results and reconstructed visual acuity data from several large multicenter studies: the Central India Eye and Medical Study (CIEMS) - 4711 participants; the Early Treatment Diabetic Retinopathy Study (ETDRS) - 3710 participants; the Age-related Eye Disease Study 2 (AREDS2) - 4203 participants. Original data were obtained by measuring visual acuity in both eyes of 100 healthy volunteers using the ETDRS protocol. Visual acuity distribution for each multicenter study was reconstructed from histograms in the corresponding publications. In all cases, the exponent for the optimal transformation was closer to that for decimal notation (-1.0) than logarithmic notation (0): CIEMS - λ=-1.31; ETDRS - λ=-0.8; AREDS2 - λ=-0.88; original data - λ=-1.66. The optimal transformation did not pass the Shapiro-Wilk test for normality in any of the cases. The distribution closest to normal was obtained when analyzing the original data, likely due to the Shapiro-Wilk test's sensitivity to repeating values. The authors recommend using decimal notation for the statistical processing and presentation of visual acuity data, as it is more appropriate for parametric statistical methods.

Alpha power inverse Weibull distribution: A new lifetime distribution with application to gastric cancer data

Lifetime data analysis has an essential role in various fields of science. In general, lifetime data have a skewed distribution pattern. The Weibull distribution is one of the most frequently used distributions for modeling lifetime data. However, the Weibull distribution is not suitable for modeling data with non-monotonous hazard functions, one of which is an upside-down bathtub shape. According to Sharma et al. (2015), the inverse version of several probability distributions can model the data with an upside-down bathtub shape, one of which is the inverse Weibull distribution. This paper explains the Alpha Power Inverse Weibull (APIW) distribution as a generalization version of the inverse Weibull distribution. This distribution is constructed by using the Alpha Power Transformation method. The modification is done by adding a shape parameter to the inverse Weibull distribution to increase flexibility. The characteristics of APIW distribution discussed include probability density function, distribution function, survival function, hazard function, and the r-th moment. The probability density function of APIW distribution is left-skewed and unimodal. In addition, the hazard function of APIW distribution has an upside-down bathtub shape. The parameters of this distribution are estimated by the maximum likelihood method. Finally, for illustration purposes, the data about the time until gastric cancer patients die are modelled with the inverse Weibull distribution, and the APIW distribution is given. The modeling result shows that the Alpha Power Inverse Weibull distribution is better at modeling the time until gastric cancer patients die data than the inverse Weibull distribution.

Low-pass filtering of power transformation of light tones of images

Low-pass filtering of power transformation of light tones of images

A Power Transformation for Non-Normal Processes Capability Estimation

A Power Transformation for Non-Normal Processes Capability Estimation

Fusion-Embedding Siamese Network for Light Field Salient Object Detection

Light field salient object detection (SOD) has shown remarkable success and gained considerable attention from the computer vision community. Existing methods usually employ a single-/two-stream network to detect saliency. However, these methods can only handle up to two different modalities at a time, preventing them from being able to fully explore the rich information in multi-modal light field derived data. To address this, we propose the first joint multi-modal learning framework, called FES-Net, for light field SOD, which can take rich inputs not limited to two modalities. Specifically, we propose an attention-aware adaptation module to first transform the multi-modal inputs for use in our joint learning framework. The transformed inputs are then fed to a Siamese network along with multiple embedded feature fusion modules to extract informative multi-modal features. Finally, we predict saliency maps from the high-level extracted features using a saliency decoder module. Our joint multi-modal learning framework effectively resolves the limitations of existing methods, providing efficient and effective multi-modal learning that can fully explore the valuable information in light field data for accurate saliency detection. Furthermore, we improve the performance by introducing the Transformer as our backbone network. To the best of our knowledge, the improved version of our model, called FES-Trans, is the first attempt to address the challenging light field SOD with the powerful Transformer technique. Extensive experiments on benchmark datasets demonstrate that our models are superior light field SOD approaches and outperform cutting-edge models remarkably.

REIMAGINING THE FEMININE VOICE: ANALYZING WOMEN’S AGENCY IN LITERATURE WITH SPECIAL REFERENCE TO ARUNDHATI ROY AND VIRGINIA WOOLF

This paper is devoted to the transformation of female voices and power in the art of Virginia Woolf and Arundhati Roy, paying attention to their different but complementary contributions to English literature. Woolf, who is the first modernist female author, dismantles the mechanisms of male domination and argues for the intellectual and financial autonomy of women, as in A Room of One's Own. Roy, in her postcolonial magnum opus The God of Small Things, explores the socio-political space of India to give a portrayal of the women whose voices are suppressed and the subversive ones. This analysis, by comparing Woolf’s 20th-century demand for the inclusion of women in the literary field with Roy’s 20th-century questioning of gender, caste, and colonial heritage, shows how women’s voices in English literature have changed over time. Using feminist and postcolonial approaches, the work brings out the authors' ways of restructuring subjectivity through the narrative form, the use of language, and resistance. At the same time, the paper shows that Woolf and Roy create connections across time and culture as they see new possibilities for gender egalitarianism and literary representation.

Societal Transformations Aftermath COVID-19: An Overdue Exploration of Positive and Negative Impacts

COVID-19 pandemic has showcased profound changes across human society, altering various facets of social life. Beyond its immediate health implications, the pandemic has brought about powerful social transformations reshaping interpersonal dynamics, work patterns, and community adaptability. This research article examines multifaceted impact of COVID-19 on societies globally, considering its both positive and negative implications. Through a comprehensive review of literature and analysis of real-life scenarios, the study explores how the pandemic has reshaped social structures, behaviors, and attitudes. The paper concludes suggesting that the pandemic has deeply and diversely impacted the lives of people in general across the geographical boundaries by a complex interplay of consequences, highlighting the need to continuously navigate the post-pandemic social landscape.

Букеевская (Внутренняя) орда в XIX – начале XX вв.: этапы административного управления

Introduction. The article examines some key stages of administrative governance evolution in the Inner Bukey Horde throughout the nineteenth and early twentieth centuries — with due regard of the present-day historical research agenda and various methodological approaches adopted to interpret Imperial Russia’s policies toward Orientals across its southeastern domains. Materials and methods. The paper focuses on a number of related historical publications, namely: A Review of the Fifty-Year Long History (1837–1887) by the Ministry of State Property (Pt. 2: Guardianship. Land Affairs Management), and Russian Political Law by N. Korkunov, a renowned Russian lawyer of the prerevolutionary era. The latter reviews the Bukey Horde’s administrative structure as of the early twentieth century. Results. The work employs an institutional approach to the study of administrative governance evolution in the Inner Bukey Horde, and delineates a total of four stages therein: establishment of the Bukey Horde, institutional legalization of the Bukey Khanate, transformation and abolishment of native royal power of khans, integration of the Horde into Russia’s political and economic environments as part of Astrakhan Governorate. The staging model centers around the institution of khanship that did outlive ones in all other Kazakh communities, which is explained by the personal traits of Khan Jäñgir and a special ‘inner’ status of the Bukey Horde.

Research on Edge-Computing-Based High Concurrency and Availability “Cloud, Edge, and End Collaboration” Substation Operation Support System and Applications

With the continuous promotion of digital transformation in the field of power transformation, the diversification of application scenarios, and the scale of pilot construction, the real-time, concurrency, and security requirements for data fusion and application support of the power monitoring system, management information system, and other business platforms are getting higher and higher, and this paper puts forward a high concurrency and availability “cloud-side-end collaboration” based on edge computing. This paper proposes a high concurrency and availability “cloud, edge and end collaboration” architecture based on edge computing for substation operation support systems. First, this paper summarizes the development status of domestic substation operation support systems and analyzes the advantages and disadvantages of various technical architectures. Then, a “cloud-side-end cooperative” substation operation support system architecture with “high real-time, high concurrency, high security and high stability” is proposed, which focuses on remote inspection, remote operation, and remote safety control of substation businesses from the perspective of engineering applications. It realizes transparent monitoring of equipment operation, unified management of operation data, and integration of production command and decision-making; solves the problems of dispersed coexistence of multiple systems for dispatching, monitoring, analysis, management, and other businesses, switching between multiple systems, and insufficient real-time and stability of the system; and controls the risks of the grid, reduces the potential safety hazards, and solves the contradiction between the continuous growth of the grid equipment and the shortage of production personnel. The results of engineering application examples show that the proposed architecture compared with the existing system architecture has greater advantages and can meet the requirements of large-scale access to the substation, with feasible popularization and application.

Establishment of Kifilideen coefficient tables for positive and negative powers of \(n\) and \(-n\) of Kifilideen trinomial theorem and other development based on matrix and standardized methods

The generation of coefficients of terms of positive and negative powers of \(n\) and \(-n\) of Kifilideen trinomial theorem as the terms are progress is stressful and time-consuming which the same problem is identified with coefficients of terms of binomial theorem of positive and negative powers of \(n\) and \(-n\). This slows the process of producing the series of any particular trinomial expansion. This study established Kifilideen coefficient tables for positive and negative powers of \(n\) and \(-n\) of the Kifilideen trinomial theorem and other developments based on matrix and standardized methods. A Kifilideen theorem of matrix transformation of the positive power of \(n\) of trinomial expression in which three variables \(x, y\), and \(z\) are found in parts of the trinomial expression was originated. The development would ease evaluating the trinomial expression's positive power of \(n\). The Kifilideen coefficient tables are handy and effective in generating the coefficients of terms and series of the Kifilideen expansion of trinomial expression of positive and negative powers of \(n\) and \(-n.\)

FedViT: Federated continual learning of vision transformer at edge

Deep Neural Networks (DNNs) have been ubiquitously adopted in internet of things and are becoming an integral part of our daily life. When tackling the evolving learning tasks in real world, such as classifying different types of objects, DNNs face the challenge to continually retrain themselves according to the tasks on different edge devices. Federated continual learning (FCL) is a promising technique that offers partial solutions but yet to overcome the following difficulties: the significant accuracy loss due to the limited on-device processing, the negative knowledge transfer caused by the limited communication of non-IID (non-Independent and Identically Distributed) data, and the limited scalability on the tasks and edge devices. Moreover, existing FCL techniques are designed for convolutional neural networks (CNNs), which have not utilized the full potential of newly emerged powerful vision transformers (ViTs). Considering ViTs depend heavily on training data diversity and volume, we hypothesize ViTs are well-suited for FCL where data arrives continually. In this paper, we propose FedViT, an accurate and scalable federated continual learning framework for ViT models, via a novel concept of signature task knowledge. FedViT is a client-side solution that continuously extracts and integrates the knowledge of signature tasks which are highly influenced by the current task. Each client of FedViT is composed of a knowledge extractor, a gradient restorer and, most importantly, a gradient integrator. Upon training for a new task, the gradient integrator ensures the prevention of catastrophic forgetting and mitigation of negative knowledge transfer by effectively combining signature tasks identified from the past local tasks and other clients’ current tasks through the global model. We implement FedViT in PyTorch and extensively evaluate it against state-of-the-art techniques using popular federated continual learning benchmarks. Extensive evaluation results on heterogeneous edge devices show that FedViT improves model accuracy by 88.61% without increasing model training time, reduces communication cost by 61.55%, and achieves more improvements under difficult scenarios such as large numbers of tasks or clients, and training different complex ViT models.

Проблемы становления Древнерусского государства в трудах Александра Магнуса Фромгольда фон Рейца

The article notes the main points of the biography of one of the key figures of Russian historical and legal science — A. M. F. Reitz, and also analyzes the work he published in 1829, called “An Experience in the History of Russian Law”. The scientist examines the process of formation of state characteristics in the context of the evolution of tribal institutions under the influence of a number of external and internal factors (which are analyzed in this article). In particular, according to the scientist, evolution is determined by demographic processes; the growth of the population united by clan ties within the boundaries of one settlement entails the transformation of the patriarchal power of the tribe leader into the collegial power of clan elders. The scientist also points to acute social contradictions as one of the significant reasons for the emergence of the state.
 A. M. F. Reitz, developing ideas previously expressed by his predecessors Professors I. G. Neumann and I. F. G. Evers, sees not the individual power of the Grand Duke in the Old Russian state, like European monarchs, but collective suzerainty; questions the established point of view in Russian historiography about the establishment of the power of the eldest in the family in the early period of the existence of the Old Russian state.
 The scientist considers inheritance and will as the basis for the legitimate transit of power; power is retained within one clan and its transfer is regulated by rules similar to the rules of inheritance law. The scientist defined the Old Russian state by its form of government as an absolute monarchy and, following I. F. G. Evers, defined the Old Russian state by its territorial structure as a union state created through an agreement of princes, and not by a natural unification of territories. Ideas substantiated in the works of A. M. F. Reitz, found a response in the scientific creativity of the works of virtually all historians of Russian law.

Physics-Informed Deep Learning Inversion with Application to Noisy Magnetotelluric Measurements

Despite demonstrating exceptional inversion production for synthetic data, the application of deep learning (DL) inversion methods to invert realistic magnetotelluric (MT) measurements, which are inevitably contaminated by noise in acquisition, poses a significant challenge. Hence, to facilitate DL inversion for realistic MT measurements, this work explores developing a noise-robust MT DL inversion method by generating targeted noisy training datasets and constructing a physics-informed neural network. Different from most previous works that only considered the noise of one fixed distribution and level, we propose three noise injection strategies and compare their combinations to mitigate the adverse effect of measurement noise on MT DL inversion results: (1) add synthetic relative noise obeying Gaussian distribution; (2) propose a multiwindow Savitzky–Golay (MWSG) filtering scheme to extract potential and possible noise from the target field data and then introduce them into training data; (3) create an augmented training dataset based on the former two strategies. Moreover, we employ the powerful Swin Transformer as the backbone network to construct a U-shaped DL model (SwinTUNet), based on which a physics-informed SwinTUNet (PISwinTUNet) is implemented to further enhance its generalization ability. In synthetic examples, the proposed noise injection strategies demonstrate impressive inversion effects, regardless of whether they are contaminated by familiar or unfamiliar noise. In a field example, the combination of three strategies drives PISwinTUNet to produce considerably faithful reconstructions for subsurface resistivity structures and outperform the classical deterministic Occam inversions. The experimental results show that the proposed noise-robust DL inversion method based on the noise injection strategies and physics-informed DL architecture holds great promise in processing MT field data.

Analysis of unified power quality conditioner errors

This article is devoted to error analysis of the unified power quality regulator. In the context of the growing importance of reliable and high-quality power supply, power quality regulators are becoming key devices to ensure the stability of networks and meet the needs of domestic consumers. The paper proposes a comprehensive approach to error analysis of the unified power quality conditioner, the main purpose of which is to compensate for the impact of rapidly changing loads on power quality. At the same time, indicators of general harmonic distortion of the quality of electricity are analyzed, and factors such as the magnitude and duration of loads are also taken into account. A large part of the article is devoted to the study of the sources of errors in unified power quality conditioner. A comparison of the parallel-serial and series-parallel topologies of unified power quality conditioner is performed. The influence of the unified power quality conditioner control algorithm on the formation of errors of each topology is analyzed. Using Matlab/Simulink computer simulation tools, the article proposes a framework for error quantification, which allows accurate estimation of errors at various stages of unified power quality conditioner operation. This framework covers the Fourier series transformation of voltage and power for comprehensive estimation of error magnitudes. To confirm the effectiveness of the proposed error analysis and compensation strategies, the article presents graphs of simulation results in the time and frequency domains. Active and reactive power generation errors and voltage setpoint errors are described. These findings emphasize the ability of unified power quality conditioner to improve the quality of electricity, despite measurement errors. The main results include the analysis of deviations of voltage quality indicators, the establishment of a connection between compensation errors and deficiencies in the functioning of the system, as well as the development of recommendations for improving the efficiency of compensation devices.

"Conscientious Guardian" vs. "Commercialized Jungle": Pharmacists and Pharmacy Design in the Postwar United States.

Pharmacists and pharmacies are key drivers in the American marketplace. They serve as an endpoint of the pharmaceutical supply chain and are the dispensers of a range of consumer goods, some nonthreatening and others potentially harmful to public health. In adding pharmacies to the roster of consumerist locales in the postwar period, scholars might draw even deeper connections about the transformation of health, corporate medicine, and American economic power. To understand the interface of consumerism, corporatism, and health in postwar America, this article holds the postwar pharmacy as a key site of commodity exchange and business and positions it within the larger American firmament, paying attention to the design of pharmacies. In particular, the article will add to the knowledge about the tangible ways that medical and health care spaces are constructed, organized, and designed to best generate profits. Besides prescription medications, alcohol, tobacco, and sugar-rich products were also vital elements of the postwar pharmacy and will be featured in this article. What is more, this article focuses on a central debate between pharmacists during the postwar period about how pharmacies were shifting from the role of healer to that of a retailer - from a "conscientious guardian" to a "commercialized jungle" - in order to highlight how the public health role of pharmacies was undermined by industry pressures for profit. Based on unused corporate guides and manuals, company records, photographs, and management documents, this article will spotlight the underexplored interiority of pharmacies - the store's insides, processes of organization, and design features related to potentially habit-changing substances.

"Chasing Ghosts and Doomed to Wander": Possibilities for Transnational Literacy Practices with Emiko Jean’s <em>Tokyo Ever After</em>

As national literary imaginaries become more global, so too do the possibilities for exploring young adult literature in its representation of transnational youth identities, representations reflecting youth often thrown into the tension of navigating multiple homelands. In carrying out a critical content analysis grounded in theories and concepts of transnationalism to Emiko Jean’s Tokyo Ever After (2021), I consider how readers might engage with the text and become aware of, and connected with, the lives of transnational youth through themes such as dichotomous selfhood, with the view that such awareness may encourage transformations of power. I argue for the use of transnational critical literacy of young adult literature as one approach to develop in youth audiences a better understanding of transnationalism and its influence on adolescent identity formation.

Safe physical interaction with cobots: a multi-modal fusion approach for health monitoring.

Health monitoring is a critical aspect of personalized healthcare, enabling early detection, and intervention for various medical conditions. The emergence of cloud-based robot-assisted systems has opened new possibilities for efficient and remote health monitoring. In this paper, we present a Transformer-based Multi-modal Fusion approach for health monitoring, focusing on the effects of cognitive workload, assessment of cognitive workload in human-machine collaboration, and acceptability in human-machine interactions. Additionally, we investigate biomechanical strain measurement and evaluation, utilizing wearable devices to assess biomechanical risks in working environments. Furthermore, we study muscle fatigue assessment during collaborative tasks and propose methods for improving safe physical interaction with cobots. Our approach integrates multi-modal data, including visual, audio, and sensor- based inputs, enabling a holistic assessment of an individual's health status. The core of our method lies in leveraging the powerful Transformer model, known for its ability to capture complex relationships in sequential data. Through effective fusion and representation learning, our approach extracts meaningful features for accurate health monitoring. Experimental results on diverse datasets demonstrate the superiority of our Transformer-based multi- modal fusion approach, outperforming existing methods in capturing intricate patterns and predicting health conditions. The significance of our research lies in revolutionizing remote health monitoring, providing more accurate, and personalized healthcare services.

The Central Political Situation and Transformation of Power after the Shaoxi Abdication

<p>紹熙五年（1194）七月「紹熙內禪」至慶元元年（1195）二月發動「慶元黨禁」為止之政局，既有研究多著眼於道學集團與反道學集團的政治衝突。本文認為道學內部衝突，才是激化黨派政爭的關鍵因素。此時道學集團內部競爭關係，植根於推動內禪過程的關係網絡。趙汝愚（1140-1196）憑藉徐誼（1144-1208）、葉適（1150-1223）、蔡必勝等溫州士人在外廷與內朝的聯繫與合作，成功推動內禪，不僅形塑以趙汝愚為核心之「內外一體」（外廷與內朝相互合作）的權力運作，也奠定溫州士人在道學陣營的優勢。隨著孝宗陵寢選址、廟制爭議、外戚俸祿等事件逐次發生，道學陣營內部衝突加劇，撼動了趙汝愚維持「內外一體」運作的正當性。朱熹（1130-1200）標舉反對近習旗幟，抨擊趙汝愚與溫州士人違反道學陣營政治立場，迫使後者轉變原本有條件與近習合作的態度。此一發展嚴重削弱以韓侂冑等近習對趙汝愚的信任，導致以趙汝愚為核心之「內外一體」的崩解，取而代之則是以韓侂冑為核心、內朝領導外廷的「內外一體」局面。</p> <p> </p><p>Past research on the political situation from July 1194, when the “Shaoxi Imperial Abdication” occurred, to the “Qingyuan Faction Ban” of February 1195 has mostly focused on the political conflict between Daoxue groups and anti-Daoxue groups. In contrast, this article argues that internal conflicts within Daoxue were the key to the intensification of partisan political disputes. The internal competition within the Daoxue group during this period originated from the relationship network between the individuals who promoted the abdication. Zhao Ruyu made contacts and established cooperation between the outer court and the inner court through his relationships with Xu Yi, Ye Shi, Cai Bisheng and other Wenzhou scholars, successfully promoting the abdication, which not only shaped the power operation of “the integration of the inner court and the outer court” (the cooperation between the outer court and the inner court) but also established the advantage of Wenzhou scholars in the Daoxue group. As controversies over the choice of the location of Xiaozong’s mausoleum, the ancestral temple system, and the salary of imperial relatives occurred one after another, the internal conflicts in the Daoxue group intensified, shaking the ability of Zhao Ruyu to maintain internal and external unity. Zhu Xi held up the banner of opposing imperial favorites and criticized Zhao Ruyu and the Wenzhou scholars for violating the political stance of the Daoxue group, forcing the latter to change their original attitude of conditional cooperation with the favorites. The development of this situation caused a serious decline in the trust favored officials represented by Han Tuozhou had in Zhao Ruyu, leading to the collapse of the “integration of the inner court and the outer court” political situation with Zhao Ruyu as the core. Replaced by Han Tuozhou, the inner court came to lead the outer court in a situation of “internal and external integration.”</p> <p> </p>