Transformation Of Space Research Articles

Media space in conditions of nonlinear complication of social reality

System analysis as a paradigm allows us to study the media space as a subsystem with flexible connections internally and externally with other subsystems. Using a systematic approach, the author proposes to consider the transformation of the media space as a selfdeveloping process that occurs under the influence of digitalization, which is a factor in the rate of change. The author proposes to consider the media space as a social process with its inherent: (1) logical subject; (2) temporary relationships; (3) spatial relationships; (4) direction. As a result of the article, the author agrees with the opinion of researchers that under the influence of technological development of society, the media space has been transformed into the media sphere.

Book Review: Historicizing Sunni Islam in the Ottoman Empire, c. 1450–c. 1750

The book examines Ottoman Sunnism’s evolution, orthodoxy, and spatial dimensions. Divided into three chapters, it critically engages with historical narratives, doctrinal debates, and socio-political dynamics shaping Ottoman Sunnism. Chapter I reevaluates Sunnī orthodoxy by tracing its historical dialogue with the past and the present. It examines the emergence of a new hadith culture in the sixteenth century, challenges conventional views through Shāhzādah Qorqud’s writings, explores the influence of Ibn Taymiyyah on Ottoman thought, redefines knowledge boundaries in Ottoman catechisms, and scrutinizes perceptions of heresy in Ottoman society. Moreover, Chapter II focuses on the spatial dimensions of Sunnitization, exploring how pious communities were constructed within urban institutions and convents. It investigates the transformation of spaces like the ʿimārah into mosques, the integration of Abdāl-affiliated convents into Khalwatī darwīsh networks, and the role of imāms in congregational prayers during the Ottoman Sunnitization era. Chapter III delves into the contextual and genre-specific nature of confessional politics, shedding light on the complexities of Sunnī-Shiʿī’ relations and Ottoman-Safavid diplomacy. It reexamines the portrayal of Qizilbash actors in Ottoman borderlands, evaluates Ottoman historical writing through the lens of Islamic history, and explores Islamic discourse in Ottoman-Safavid diplomatic exchanges.

LMI feasibility analysis of 2DOF NATA model

AbstractPresent paper shows the different types of tensor product model based linear matrix inequality controller design and feasibility analysis of two degrees of freedom aeroelastic wing section model. The tensor product models are based on reducing or removing the nonlinear behavior of the system and weighting functions. The linear matrix inequality based method results globally asymptotically stable system. The goal of the paper is to examine that selecting and varying the transformation space influences the feasibility of the linear matrix inequality based controller. The paper gives a comparison between the different tensor product models in terms of controller performance. The linear matrix inequality gives feasible solution for the controller design if the transformation space is selected adequately.

Estimate of the time required to perform a nonadiabatic holonomic quantum computation

Nonadiabatic holonomic quantum computation has been proposed as a method to implement quantum logic gates with robustness comparable to that of adiabatic holonomic gates but with shorter execution times. In this paper, we establish an isoholonomic inequality for quantum gates, which provides a lower bound on the lengths of cyclic transformations of the computational space that generate a specific gate. Then, as a corollary, we derive a nonadiabatic execution time estimate for holonomic gates. In addition, we demonstrate that under certain dimensional conditions, the isoholonomic inequality is tight in the sense that every gate on the computational space can be implemented holonomically and unitarily in a time-optimal way. We illustrate the results by showing that the procedures for implementing a universal set of holonomic gates proposed in a pioneering paper on nonadiabatic holonomic quantum computation saturate the isoholonomic inequality and are thus time optimal. Published by the American Physical Society 2024

Hand Gestures Recognition Model Using Adaptive Feature Extraction with Attention-Based Hybrid Deep Learning via Optimization Strategy

Research on continuous hand gesture recognition is motivated by applications of deaf people to provide effective communication between one another. Numerous techniques are adapted for effectively identifying the hand gesture. Moreover, the collection of data becomes a challenging task in the existing models. In some instances, hand gesture in low-resolution images becomes a complicated task. In this research work, a deep learning-based hand gesture detection model is designed using hand data points to uncover patterns that are used to convey information. Initially, hand gesture images are obtained from public sources. The collected inputs are preprocessed through Contrast-Limited Adaptive Histogram Equalization and filtering to eliminate the unnecessary blurs in the images. The preprocessed images undergo hand segmentation using four methods color space transformation, skin color detection, active contour, and morphological operation. The segmented image is subjected to data point feature extraction, where the Adaptive Weighted Scale-Invariant Feature Transform is utilized for further enhancement. The hand data point-extracted features are given to the recognition of hand gestures with the support of an attention-based hybrid network, where the Attention-based Hybrid 1D Convolutional Neural Network with Recurrent Neural Network recognizes the hand gestures from the hand data points. In the hybridization network, the values are optimized with the help of the investigated Adaptive Dandelion White Shark Optimizer to enhance recognition effectiveness. The test results are validated with the existing hand gesture recognition models using diverse evaluation metrics. The findings of the recommended method show 97% and 99% in terms of accuracy and NPV. Thus, the developed model is validated to outperform significant performance rather than the existing models.

Rural Self-Organizing Resilience: Village Collective Strategies and Negotiation Paths in Urbanization Process in the TPSNT Framework: A Case Study of the Hongren Village, China

Studies on rural transformation in the context of urbanization have always analyzed it from a single linear perspective, either top-down or bottom-up. This leads to simplistic generalizations of rural transformation models and the standardization of policy implementation. Based on the TPSN analytical framework, this study adds the temporality dimension to form a more comprehensive TPSNT framework. This paper explores the complex construction of rural space in rural transformation from the five dimensions of “territory, place, scale, network and temporality“ and takes the urban village, Hongren, in Kunming City, China, as a case study to analyze the specific transformation process of a village. The research revealed the following: First, in the face of land loss caused by government land acquisition, traditional rural autonomous organizations that have been hidden under the modern governance system have been revived under the influence of traditional elites and completed bottom-up territorialization by using some “maneuver spaces “to form a spatial base for negotiation with the government. Second, the cohesion of traditional rural autonomous organizations has increased during this process, and with the help of mobile capital such as media and personal connections, they have developed social networks that transcend the spatial boundaries of villages. Third, these newly constructed social networks are used to carry out various political strategies at various scales and finally negotiated with the government to rewrite the planning plan so that the village can continue to develop and integrate into the city. Finally, the analysis of the temporal dimensions of Hongren village revealed that even within the same village, changes in the other four dimensions develop dynamically, and rural transformation is an ongoing process. Therefore, when the government deals with rural issues in the process of urbanization, it should avoid a one-size-fits-all approach. Unified policy implementation standards will have an irreversible negative impact on rural autonomous organizations.

Time–frequency–space transformer EEG decoding for spinal cord injury

Time–frequency–space transformer EEG decoding for spinal cord injury

Effective recognition design in 8-ball billiards vision systems for training purposes based on Xception network modified by improved Chaos African Vulture Optimizer

This research paper presents a comprehensive investigation into the utilization of color image processing technologies and deep learning algorithms in the development of a robot vision system specifically designed for 8-ball billiards. The sport of billiards, with its various games and ball arrangements, presents unique challenges for robotic vision systems. The proposed methodology addresses these challenges through two main components: object detection and ball pattern recognition. Initially, a robust algorithm is employed to detect the billiard balls using color space transformation and thresholding techniques. This is followed by determining the position of the billiard table through strategic cropping and isolation of the primary table area. The crucial phase involves the intricate task of recognizing ball patterns to differentiate between solid and striped balls. To achieve this, a modified convolutional neural network is utilized, leveraging the Xception network optimized by an innovative algorithm known as the Improved Chaos African Vulture Optimization (ICAVO) algorithm. The ICAVO algorithm enhances the Xception network's performance by efficiently exploring the solution space and avoiding local optima. The results of this study demonstrate a significant enhancement in recognition accuracy, with the Xception/ICAVO model achieving remarkable recognition rates for both solid and striped balls. This paves the way for the development of more sophisticated and efficient billiards robots. The implications of this research extend beyond 8-ball billiards, highlighting the potential for advanced robotic vision systems in various applications. The successful integration of color image processing, deep learning, and optimization algorithms shows the effectiveness of the proposed methodology. This research has far-reaching implications that go beyond just billiards. The cutting-edge robotic vision technology can be utilized for detecting and tracking objects in different sectors, transforming industrial automation and surveillance setups. By combining color image processing, deep learning, and optimization algorithms, the system proves its effectiveness and flexibility. The innovative approach sets the stage for creating advanced and productive robotic vision systems in various industries.

Digital platforms and the spatial transformation of urban villages in southern China: a case for platform-urban villagism?

ABSTRACT In contrast to the dichotomy of platform urbanism-ruralism populated in recent urban geography, we propose an analytical framework of “platform-urban villagism” to examine the roles and impacts of digital platforms on the ongoing spatial transformations in urban villages in southern China. Our framework offers a nuanced understanding of the entanglements between digital platforms and key actors in unconventional urban areas. Leveraging empirical evidence from garment villages in Guangzhou, we explore the diversities of power relationships between various actors and the corresponding spatial implications. Specifically, our analysis reveals the potential symbiotic and productive relationships between digital platforms and other economic actors, leading to functional upgrading of the labor-intensive apparel industry and fostering non-antagonistic relationships with local governments and residents. By highlighting the transformation of production and non-production spaces within garment villages, our study challenges conventional notions of urban development and consumption-oriented activities associated with platform urbanism.

Nothing for us, except by us – Support for queer ethnic young people in Aotearoa New Zealand

PurposeThis paper looks at mainstream lesbian, gay, bisexual, transgender, queer, intersex and asexual (LGBTQIA+) support services in Aotearoa New Zealand, which predominantly center white queer voices and services and fail to account for the intersectional identities of young ethnic queers.Design/methodology/approachThis exploratory, qualitative study investigated the social and professional support experienced and responded to by 43 young ethnic queers living in Aotearoa New Zealand, who were between 18 and 35 years of age. Participants identified as queer, non-binary, gay, pansexual, demisexual, gender fluid, non-binary and trans among others and held ethnic heritage from Africa, Asia, the Middle East and the Americas. Persadie and Narain's Mash Up methodological approach (2022) was used to analyze the data. Mash Up allowed us to understand the intersectional spaces of queer ethnic lives in white-dominated spaces, the ways in which young ethnic queers resisted the marginalization of their racialized being and took agency to counter actions and decisions that negated their presence and intersectional identities.FindingsThe findings from the study showed that young ethnic queers responded to the lack of adequate support services by establishing their own voluntary organizations and support networks. The study revealed that ethnic queer young people were critical of the white-dominated LGBTQIA+ support organizations; they created their own transformative spaces where they found “family” and community where they could be open about their queerness without the fear of rejection and stigma, while still advocating for equitable resources and an intersectional approach in queer mainstream services.Originality/valueThis paper provides valuable information on the lack of support for queer ethnic young people in Aotearoa New Zealand. The absence of information on the needs of this group poses a challenge to government departments, which rely on data to inform policy and allocate resources. The limited research and knowledge of this community make them less visible and, consequently, less likely to be given resources. It also means that harmful practices and behaviors toward queer ethnic young people by families and communities are more likely to go unnoticed and unaddressed. The paper also shows that the agency of young ethnic queers to create their own transformative spaces and to challenge the white-centric spaces, which have failed to consider their intersectional identities, has been instrumental to their well-being.

Развитие цифровых технологий в банковской сфере

Abstract The article is devoted to the vectors of digital technology development in the Russian Federation, various factors affecting the banking sector, as well as the forms of modern digital technologies and the possibility of applying state regulation by the Government of the Russian Federation and the Central Bank of the Russian Federation in order to ensure stability and security. Special attention is paid to state regulation in the field of information technology in the banking sector. The author highlights the features of the development of digital technologies in the banking sector. The vectors of innovation development in the banking sector are considered. Methodological tools of the research: analysis of statistical sources of information; in the course of the work, forecasting methods are actively used to study possible ways of developing digital banking vectors. In conclusion, the development vectors for the banking sector in the space of digital transformation are highlighted.

"Transcendental Architecture: Bio Geometry in Meditation Halls"

This research paper investigates the impact of pyramid-shaped meditation halls on human consciousness and spiritual experiences. Drawing from the principles of bio geometry and neuroscience, this study explored how the unique shape of the pyramid affects brain waves and mental states. Through a comprehensive analysis of the past data of frequency intensity within pyramid-shaped meditation halls compared to other shapes, this study elucidates the potential for pyramid architecture to enhance the journey towards ultimate consciousness. The data presented in tables and charts demonstrate the intensity of brainwave frequencies, providing valuable insights for architects and designers seeking to create transformative spiritual spaces. Key Words: transcendental architecture, bio geometry, consciousness, brainwave frequencies.

Urban green spaces of İstanbul: from ‘beautifying’ efforts to ‘mega-projects’

ABSTRACT This study discusses the transformation of urban green spaces in İstanbul, focusing specifically on gardens, groves, parks, and the Northern Forests. Recent research has underscored a significant loss of green space during the 2000s, posing a threat to biodiversity and essential ecosystem services. Despite maintaining a socio-natural continuum, it is evident that the twenty-first century represents a significant departure from the past. This study identifies two pivotal periods: the ‘beautification’ efforts undertaken the young republican period and the ‘mega-projects’ of the 2000s. These periods exhibit both similarities and substantial differences in politics and spatial organization concerning the urbanization of nature. The concept of urban political ecology is incorporated here, which advocates for equal socio-natural solutions and highlights the interconnectedness between urban areas and nature. The study concludes by emphasizing the need to continue examining the winners and losers in transformation of urban green spaces and move beyond project-driven development. It contributes modestly to the growing literature by shedding light on how historically and spatially organized ecologies of urban green spaces in the context of İstanbul can help us understand the socio-spatial changes we are witnessing today, characterized by the extended urbanization of nature worldwide.

Financial Analysis as An Effective Tool for Business Management: Identifying Trends and Optimizing Decisions

The issue of actualizing the phenomenon of financial analytics as an effective tool for managing and controlling business processes is becoming of paramount importance amid the active development of the transformation of the Ukrainian economic space. This situation is exacerbated by the digitalization of financial and economic processes, as well as the trend of global integration of the economic space. The study aims to analyze current trends in the development of the financial and analytical sphere as an effective management tool. The research was carried out using the following general scientific methods: multidisciplinary analysis, synthesis, specification, abstraction, induction and deduction, and formalization. The authors assessed the risks involved in the implementation of financial analysis, as well as the vectors of predictive development of its algorithm in the future. It has been found that the digital transformation of financial analysis processes is currently seen as an inevitable optimization stage in the development of the business environment. The authors have identified several dangers related to the use of artificial intelligence in financial analysis within the general trend of digitalizing accounting and economic procedures. The article substantiates that modern digitalization tools create an opportunity to simplify the processes of collecting and accumulating financial information. It has been proven that the implementation of effective financial analysis allows making effective management decisions in business processes. The results of the study may have practical value for optimizing economic activities.

THE STUDY OF DIGITAL TRANSFORMATION STRATEGIES: DRIVING BUSINESS AGILITY FOR COMPETITIVE EDGE

In technological banking (FinTech), there is a new player trying to drive innovation and the performance of the sector by disrupting the current practices and competitive environment on the world stage. The main aspect explored in this dissertation focuses on the strategies used by the leading FinTech firms to manage the dynamics of the space of digital transformation, with a special attention to the issue that aims to enhance business agility for long-term competitive advantage. This study, a detailed evaluation of either global or Indian FinTech ecosystem, observes the effects of digital transformation of organizational structures, processes and cultures and stresses the need of adaptability and resilience in present day dynamic business world. Employing both qualitative and quantitative analysis in carrying out case studies of known frontrunners, such as Stripe, Ant Group, PayPal, PhonePe, and Paytm, to determine their strategic responses to digital disruptions. The variance from past researches like academic literature and empirical research is also factored in to enhance this dissertation insights. A few major concepts, such as customer-centricity, compliance with regulations and technological innovation, are explored, which demonstrate how such different approaches to success are possible in the FinTech area. In addition, the study further analyses the struggles and barriers that limit the success of digital transformation initiatives in organizations, and the research provides some practical recommendations and frameworks that can leverage digital technologies effectively. The dissertation brings together theoretical frameworks with actual examples and empirical data to add to the literature and debate on digital transformation in the FinTech industry. It gives the principles and practice for professionals, decision-makers, and researchers to handle the challenges in digital economy more effectively; besides that, this contributes to the good innovation and sustainable development in global and Indian FinTech areas. Finally, this research reveals that there is an exponential power for digital transformation in reconstructing the financial services and leading to more inclusive future which is less prone to recession.

DTDO: Driving Training Development Optimization enabled deep learning approach for brain tumour classification using MRI

ABSTRACT A brain tumour is an abnormal mass of tissue. Brain tumours vary in size, from tiny to large. Moreover, they display variations in location, shape, and size, which add complexity to their detection. The accurate delineation of tumour regions poses a challenge due to their irregular boundaries. In this research, these issues are overcome by introducing the DTDO-ZFNet for detection of brain tumour. The input Magnetic Resonance Imaging (MRI) image is fed to the pre-processing stage. Tumour areas are segmented by utilizing SegNet in which the factors of SegNet are biased using DTDO. The image augmentation is carried out using eminent techniques, such as geometric transformation and colour space transformation. Here, features such as GIST descriptor, PCA-NGIST, statistical feature and Haralick features, SLBT feature, and CNN features are extricated. Finally, the categorization of the tumour is accomplished based on ZFNet, which is trained by utilizing DTDO. The devised DTDO is a consolidation of DTBO and CDDO. The comparison of proposed DTDO-ZFNet with the existing methods, which results in highest accuracy of 0.944, a positive predictive value (PPV) of 0.936, a true positive rate (TPR) of 0.939, a negative predictive value (NPV) of 0.937, and a minimal false-negative rate (FNR) of 0.061%.

Exploring mid‐infrared spectral transfer functions for the prediction of multiple soil properties using a global dataset

AbstractInfrared spectroscopy is increasingly being adopted as a technology for soil analysis. However, laboratories worldwide are equipped with different infrared spectrometers, leading to variations that hinder the global application of soil spectroscopy. This study evaluates the transferability of soil spectra from a global dataset collected using four mid‐infrared spectrometers. To evaluate the efficacy of five spectral transfer functions (direct standardization, piecewise direct standardization, spectral space transformation [SST], principal components‐canonical correlation analysis [PC‐CCA], and domain‐invariant partial least square [DIPLS] regression), two datasets were used: dataset A (n = 224; standardized samples) was scanned using one primary spectrometer and three secondary spectrometers; dataset B (n = 1904; legacy samples) was scanned only using the primary spectrometer. The first set of chemometrics models was developed using dataset A to compare the performance of different spectrometers. The second set of models was developed using dataset B to evaluate the effectiveness of spectral transfer functions. Both models were developed using partial least squares regression. Spectral transfer functions developed using dataset A indicate that the PC‐CCA method was the best in converging spectra collected from four instruments into a similar space projected using Uniform Manifold Approximation and Projection. Spectral transfer did not result in consistent improvement in the prediction of soil properties compared to the direct use of spectra collected from different spectrometers. These findings carry significant implications for the utilization of legacy models, enabling laboratories to concentrate on acquiring new samples and spectral measurements using established protocols without the need for spectral transfer.

Image recovery method for underwater targets with complex polarization characteristics

Polarization imaging techniques have been effective in improving the clarity of turbid underwater images affected by water scattering. These techniques offer valuable additional information compared to traditional methods. However, previous descattering methods have mostly been designed for targets with uniform distribution of polarimetric characteristics. Therefore, targets with complex polarization characteristics have non-uniform distribution of polarization characteristics when dealing with such problems, additional parameter estimation errors can limit the results of image recovery. This paper proposes what we believe is a novel approach to address this issue. The method involves obtaining a new set of images using the polarization images vector space transformation method. The angle of polarization (AOP) of the target reflected light is estimated using the additivity law of the Stokes vector. This information is then combined with the physical model of underwater imaging to recover the underwater images affected by scattering. Experimental results conducted under varying levels of water turbidity validate the effectiveness of the proposed method. Moreover, the proposed method significantly broadens the range of application scenarios.

Geometric invariants properties of osculating curves under conformal transformation in Euclidean space ℝ3

Abstract An osculating curve is a type of curve in space that holds significance in the study of differential geometry. In this article, we investigate certain geometric invariants of osculating curves on smooth and regularly immersed surfaces under conformal transformations in Euclidean space R 3 {{\mathbb{R}}}^{3} . The primary objective of this article is to explore conditions sufficient for the conformal invariance of the osculating curve under both conformal transformations and isometries. We also compute the tangential and normal components of the osculating curves, demonstrating that they remain invariant under the isometry of the surfaces in R 3 {{\mathbb{R}}}^{3} .

Active vibration isolation on electromechanical coupling suspension system of a quarter-vehicle via modal space controller design

The active vibration isolation of a quarter-vehicle suspension system using an electromagnetic damper was achieved by designing the feedback gain of a linear quadratic regulator (LQR) and H-∞ controllers in modal coordinates. The efficacy of vibration isolation was analyzed in the frequency domain, while the performance of vibration suppression and passengers’ comfort quality were evaluated in the time domain. The research results demonstrated that by employing modal coordinate transformation in state space, the designated system’s resonance peaks can be directly suppressed in the frequency domain. The findings also indicate that the active control in modal coordinates can achieve a higher vibration suppression percentage per unit control effort in comparison to traditional active control in physical space. In other words, the modal controller is more efficient in vibration suppression than the controller designed in physical space.