Complex Space Research Articles

FOA-BDNet: A behavior detection algorithm for elevator maintenance personnel based on first-order deep network architecture

<p>The operation space of the vertical lift shaft is small, the components are complex, the occluding and different behavior space characteristics are similar, and the unsafe behavior is not easy to detect, which makes the operation safety of maintenance personnel in the elevator greatly threatened. This paper proposes an elevator maintenance personnel behavior detection algorithm based on the first-order deep network architecture (FOA-BDNet). First, a lightweight backbone feature extraction network is designed to meet the online real-time requirements of elevator maintenance environment monitoring video stream detection. Then, the feature fusion network structure of "far intersection and close connection" is proposed to fuse the fine-grained information with the coarse-grained information and to enhance the expression ability of deep semantic features. Finally, a first-order deep target detection algorithm adapted to the elevator scene is designed to identify and locate the behavior of maintenance personnel and to correctly detect unsafe behaviors. Experiments show that the detection accuracy rate on the self-built data set in this paper is 98.68%, which is 4.41% higher than that of the latest target detection model YOLOv8-s, and the reasoning speed reaches 69.51fps/s, which can be easily deployed in common edge devices and meet the real-time detection requirements for the unsafe behaviors of elevator scene maintenance personnel.</p>

THE BEHAVIOUR OF SEMIGROUP OF CONTRACTIONS ON HILBERT SPACE

Abstract. Let be a strongly continuous, one-parameter semigroup of contractions on a complex Hilbert space 𝐻. The generator of is the linear operator with domain defined by Let be a closed densely defined operator on a Hilbert space with domain . For we define to be the set of all for which there exists a neighborhood of with analytic on having values in such that for all . This set is open and contains the resolvent set of . By definition, the local spectrum of at denoted by is the complement of , so it is a closed subset of The set is called local unitary spectrum of at We will say that 𝑻 is a multiple of the identity if there is 𝜆 ∈ ℝ such that 𝑇(𝑡) = 𝑒𝑥𝑝(𝑖𝜆𝑡) for all 𝑡 ≥ 0. Theorem. Let be a strongly continuous, one-parameter semi-group of contractions on a Hilbert space 𝐻. Assume that there exists a vector such that and is at most countable. If is not a multiple of the identity, then there exists a nonzero vector such that

ЭКОСОЦИОПРИРОДНОЕ ПРОСТРАНСТВО ЭКОЛОГИЧЕСКИ ОРИЕНТИРОВАННОЙ ЛИЧНОСТИ

The article considers the problem of the formation of the living environment as a complex eco-social and natural space of an ecologically oriented personality. The author argues that the prospect of life and evolution of human society can be ensured only in conditions of joint development of the biosphere and society, that is, in conditions of coevolution of humanity and the environment. The purpose of the article is to reveal the two–way influence of nature and man on the state of the environment and the ability of a person to adapt to all kinds of natural metamorphoses based on their needs. Since the mutual activity of man and nature has always depended on the state of the natural environment, on the evolutionary development of mankind, a complete restructuring of the entire structure of socio-natural relations is necessary to ensure the harmonization of the relationship between society and nature. Spiritual and educational activities and the improvement of the ecological culture of society can help in achieving this goal. The main research method is a socio-philosophical analysis of the author's research, the works of domestic and foreign scientists, on the basis of which it is concluded that the development of the environment as a complex system with harmoniously functioning social, economic, environmental and other principles of modern development is a concept that characterizes the ecologization of both the entire social world order and the human environment, in particular in particular. In the situation of the global environmental crisis caused by the negative consequences of scientific and technological progress and industrialization, humanity is faced with environmental problems such as climate change on a planetary scale, pollution of the atmosphere, oceans, soil cover of the Earth, etc. One of the most serious environmental problems is pollution of the habitat by municipal waste. Therefore, the author argues that the formation and development of an environmentally oriented personality is a key aspect in the formation of an eco-social and natural space.

The Greening of the Others? The Destination of Alliance and Green Party Transfers, 1997–2023

ABSTRACT: Northern Ireland’s elections are typically a contest about Union versus unity. However, constitutionally neutral parties have increased their vote share. Both communal blocs are now minorities. How significant is this shift? This paper analyses transfers from Alliance and the Green Party to nationalist and unionist blocs between 1997 and 2023. I show why it is reasonable to estimate that the nationalist share of Other party transfers has doubled. The concept of notional communal bloc (communal bloc first preferences added to lower preference votes for that bloc from Alliance and the Green Party) is introduced. It is estimated that the notional nationalist bloc is now a majority of Northern Ireland’s voters. Evidence of election-time communal realignment of many communally dealigned voters is presented. Northern Ireland is in a transformed and more complex political space: still pro-Union but also notionally nationalist. The implications of this transformation for zero-sum politics and reunification are discussed.

Rapid formation of gold core-satellite nanostructures using Turkevich-synthesized satellites and dithiol linkers: the do's and don'ts for successful assembly.

Turkevich syntheses represent a foundational approach for forming colloids of monodisperse gold nanoparticles where the use of these structures as building blocks when forming multicomponent nanoassemblies is pervasive. The core-satellite motif, which is characterized by a central core structure onto which satellite structures are tethered, distinguishes itself in that it can realize numerous plasmonic nanogaps with nanometer scale widths. Established procedures for assembling these multicomponent structures are, to a large extent, empirically driven, time-consuming, difficult to reproduce, and in need of a strong mechanistic underpinning relating to the close-range electrostatic interactions needed to secure satellite structures onto core materials. Described herein is a rapid, repeatable procedure for assembling core-satellite structures using Turkevich-grown satellites and dithiol linkers. With this successful procedure acting as a baseline for benchmarking modified procedures, a rather complex parameter space is understood in terms of timeline requirements for various processing steps and an analysis of the factors that prove consequential to assembly. It is shown that seemingly innocuous procedures realize sparsely populated cores whereas cores initially obstructed with commonly used capping agents lead to few disruptions to satellite attachment. Once these factors are placed under control, then it is the ionic strength imposed by the reaction biproducts of the Turkevich synthesis that is the critical factor in assembly because they decide the spatial extent of the electrical double layer surrounding each colloidal nanoparticle. With this understanding, it is possible to control the ionic strength through the addition or subtraction of various ionic species and assert control over the assembly process. The work, hence, advances the rules for a robust core-satellite assembly process and, in a broader sense, contributes to the knowhow required for the precise, programmable, and controllable assembly of multicomponent systems.

Jointly $ A $-hyponormal $ m $-tuple of commuting operators and related results

<p>In this paper, we aim to investigate the class of jointly hyponormal operators related to a positive operator $ A $ on a complex Hilbert space $ \mathcal{X} $, which is called jointly $ A $-hyponormal. This notion was first introduced by Guesba et al. in [Linear and Multilinear Algebra, 69(15), 2888–2907] for $ m $-tuples of operators that admit adjoint operators with respect to $ A $. Mainly, we prove that if $ \mathbf{B} = (B_1, \cdots, B_m) $ is a jointly $ A $-hyponormal $ m $-tuple of commuting operators, then $ \mathbf{B} $ is jointly $ A $-normaloid. This result allows us to establish, for a particular case when $ A $ is the identity operator, a sharp bound for the distance between two jointly hyponormal $ m $-tuples of operators, expressed in terms of the difference between their Taylor spectra. We also aim to introduce and investigate the class of spherically $ A $-$ p $-hyponormal operators with $ 0 < p < 1 $. Additionally, we study the tensor product of specific classes of multivariable operators in semi-Hilbert spaces.</p>

On sequences of sectorial forms converging 'from above'

We present a form convergence theorem for sequences of sectorial forms and their associated semigroups in a complex Hilbert space. Roughly speaking, the approximating forms $a_n$ are all `bounded below' by the limiting form $a$, but in contrast to the previous literature there is no monotonicity hypothesis on the sequence. Moreover, the forms are not supposed to be closed or densely defined. For a sectorial form one obtains an associated linear relation, whose negative generates a degenerate strongly continuous semigroup of linear operators. Our hypotheses on the sequence of forms imply strong resolvent convergence of the associated linear relations, which in turn implies convergence of the corresponding semigroups. The result is illustrated by two examples, one of them closely related to the Galerkin method of numerical analysis.

Scaling photonic systems-on-chip production with neural networks

We describe our use of deep learning to optimize the multi-dimensional parameter space of systems-on-chip as an important step towards the scalable production of photonic solutions and their widespread integration into high-volume applications. The challenges of transitioning between prototype and volume production are highlighted, and the suitability of deep neural networks for navigating the multi-dimensional design space of today’s photonic circuits is discussed. We adopt multi-path neural network architectures to reduce the computational requirements of model training and to mitigate the risk of overfitting. We demonstrate the use of a multi-path neural network to optimize the construction parameters of photonic designs in a high-volume production environment. Lastly, we discuss the advantages of using machine learning not only as a highly capable tool for navigating the multi-dimensional design space of complex systems-on-chip but also as an effective strategy for compensating for fabrication process non-uniformities that are undetectable by standard process metrology instruments.

Five-Meter Nonmagnetic Telescopic Tubular Mast: Design, Test, and On-Orbit Application

Space deployable masts, as one of the most widely used branches of space deployable structures, can provide driving, positioning, and transmission functions for spacecraft in orbit, which are irreplaceable in complex space activities. The nonmagnetic telescopic tubular mast (NMTTM) is designed and manufactured by the Shenyang Institute of Automation, Chinese Academy of Sciences, aboard the SATech-01 satellite to keep the magnetic probe assembly away from magnetic interference and realize global magnetic field measurement. The NMTTM can withstand complicated vibration and shock during rocket launching in the retracted state of 0.95 m, while it can be stably released and deployed to 5.28 m in orbit. NMTTM was successfully launched into Sun-synchronous orbit on 27 July 2022, fully deployed, and generated the positioning signal after a duration of 19 min and 16 s for the deployment process on 7 November. This paper focuses on the whole process of NMTTM from mission requirements to structure design and manufacture, through to releasing, deployment, and locking technology, environmental simulation tests, up to on-orbit deployment verification, which provides valuable experience for the subsequent development and application of large-scale space deployable masts.

Local and Global: An Analogical Approach to God, Neighbor, and Indigenous Reconciliation in Pope Francis

This paper proposes a way of navigating the tension between the local and global in Fratelli tutti. The author argues that the encyclical exemplifies and develops an analogical approach for authentic encounter. The analogical approach to God and its use of language emphasize a tensive space between the known and unknown, which the author transposes to human encounter. The encyclical grounds and develops this transposed analogical approach through emphasis on cultural diversity, with a bifocal affirmation of difference and desire for relationship. Francis’s attention to Indigenous peoples grounds attention to the local as disposing toward a global outlook in care for the natural world. Finally, the author applies this approach to reflection on reconciliation between Indigenous peoples and the Church in Canada. Reflection on language is thereby put to the work of engaging the tensive and morally complex space between truth and reconciliation—namely, the space of encount er where healing is ongoing.

Configuration Design Method of Mega Constellation for Low Earth Orbit Observation

The configuration optimization design of Low Earth Orbit observation mega constellation in complex space environment is a nonlinear problem that is difficult to solve analytically. In this paper, a constellation design method is proposed, considering satellite imaging width, formation flying of subgroup satellites, and global uniform coverage by payloads. Firstly, a configuration of satellites with the same subsatellite trajectory is proposed, and its orbital analytical expression under J2 perturbation is provided. Then, the relative motion feature points are extracted near the orbit of each satellite, and a group of uniform natural accompanying satellites are set to corresponding points. Afterwards, the orbit parameters of satellite and its companions are set as initial values, and the precise orbits under the High Precision Orbit Propagator model are solved in the neighborhood by using the Nondominated Sort Particle Swarm Optimization algorithm. Finally, the correctness of the configuration design method is verified by numerical simulation.

Double‐Scale Expansions for a Logarithmic Type Solution to a q‐Analog of a Singular Initial Value Problem

We examine a linear q−difference differential equation, which is singular in complex time t at the origin. Its coefficients are polynomial in time and bounded holomorphic on horizontal strips in one complex space variable. The equation under study represents a q−analog of a singular partial differential equation, recently investigated by the author, which comprises Fuchsian operators and entails a forcing term that combines polynomial and logarithmic type functions in time. A sectorial holomorphic solution to the equation is constructed as a double complete Laplace transform in both time t and its complex logarithm logt and Fourier inverse integral in space. For a particular choice of the forcing term, this solution turns out to solve some specific nonlinear q−difference differential equation with polynomial coefficients in some positive rational power of t. Asymptotic expansions of the solution relatively to time t are investigated. A Gevrey‐type expansion is exhibited in a logarithmic scale. Furthermore, a formal asymptotic expansion in power scale is displayed, revealing a new fine structure involving remainders with both Gevrey and q−Gevrey type growth.

Key Questions of Earth Wind–Moon Interaction

The Moon is exposed to a variety of complex space environments during its 29.5-d orbiting around Earth, of which one-quarter in Earth’s magnetosphere. The collection of particles in Earth’s magnetosphere is called Earth wind, which consists of the solar wind particles entering into the magnetosphere and the ions upflowing from the ionosphere and the upper atmosphere into the magnetosphere. The interaction between Earth wind and the Moon provides insights into understanding the evolution of the whole Earth–Moon system and other planet–moon systems such as Mars, Jupiter, Saturn, and their satellites. The key scientific questions on the Earth wind and the Moon are reviewed and summarized. Finally, the several unaddressed issues and the possible resolution in the Earth wind–Moon interactions are discussed.

Key Factors of Laser-Induced Single Event Transients on Different SiGe Process

Electronic equipment applied in the complex space environment may have combined damage under the independent conditions of temperatures, radiation effects and operating modes. The aim of this study is to evaluate the laser-induced single event transients (SETs) on dependence of the pre-irradiation elevated temperatures, accumulated total dose, bias conditions and laser energy for different SiGe processes. The experimental results show that the SETs response of SiGe HBTs are closely associated with the device structure and HBT designs. TCAD simulations are combined to demonstrate that KT9041 SiGe HBTs are more sensitive to SETs than IBM43RF0100.

Probabilistic prediction of material stability: integrating convex hulls into active learning.

Active learning is a valuable tool for efficiently exploring complex spaces, finding a variety of uses in materials science. However, the determination of convex hulls for phase diagrams does not neatly fit into traditional active learning approaches due to their global nature. Specifically, the thermodynamic stability of a material is not simply a function of its own energy, but rather requires energetic information from all other competing compositions and phases. Here we present convex hull-aware active learning (CAL), a novel Bayesian algorithm that chooses experiments to minimize the uncertainty in the convex hull. CAL prioritizes compositions that are close to or on the hull, leaving significant uncertainty in other compositions that are quickly determined to be irrelevant to the convex hull. The convex hull can thus be predicted with significantly fewer observations than approaches that focus solely on energy. Intrinsic to this Bayesian approach is uncertainty quantification in both the convex hull and all subsequent predictions (e.g., stability and chemical potential). By providing increased search efficiency and uncertainty quantification, CAL can be readily incorporated into the emerging paradigm of uncertainty-based workflows for thermodynamic prediction.

Cosmic inflation epochs and Complex space time wormhole solutions.

Cosmic inflation epochs and Complex space time wormhole solutions.

기업체 인식조사를 통한 국가산업단지 융·복합 공간조성 연구

National industrial complexes are playing a pivotal role in the national economy, contributing tremendously to the creation of industrial jobs in Korea. However, the changing industrial environment and the resulting industrial policies are not supported, and the production, export, and utilization rates of industrial complexes are falling due to the downturn in the main industry and the impact of the COVID-19 pandemic. The development of the ICT industry has changed the industrial paradigm and it is time to change the existing traditional manufacturing method. Since the 4th Industrial Revolution, the pace of industrial change has progressed more rapidly, and Korean industrial complexes have to solve urgent and wide-ranging tasks to overcome stagnation and crisis. It is not possible to maintain competitiveness with a single facility in the manufacturing industry, and it is necessary to pursue the creation of a space that combines complex economic spaces such as production, R&D, service, education and training, and life and leisure spaces for workers.
 Therefore, this study aims to analyze the basic status of the national industrial complex and examine the possibilities and necessary factors of the convergence and complex space through a survey on the perception of businesses and workers in the industrial complex. The main purpose of the study is to derive implications for each business and worker based on the review, suggest future-oriented industrial development directions for the national industrial complex, and suggest plans for the creation of future convergence and complex spaces.

Optimizing Emotion Recognition of Non-Intrusive E-Walking Dataset

Emotion recognition being a complex task because of its valuable usages in critical fields like Robotics, human-computer interaction and mental health has recently gathered huge attention. The selection and optimization of suitable feature sets that can accurately capture the underlying emotional states is one of the critical challenges in Emotion Recognition. Metaheuristic optimization techniques have shown promise in addressing this challenge by efficiently exploring the large and complex feature space. This research paper proposes a novel framework for emotion recognition that uses metaheuristic optimization. The key idea behind metaheuristic optimization is to explore the search space in an intelligent way, by generating candidate solutions and iteratively improving them until an optimal or near-optimal solution is found. The accuracy & robustness of emotion identification systems can be enhanced by optimizing the metaheuristic optimization. The major contribution of this research is to develop a Chiropteran Mahi Metaheuristic optimization which emphasizes the weights updating in the classifier for improving the accuracy of the proposed system.

FUGLEDE’S THEOREM FOR (n, m)-POWER-NORMAL OPERATORS

In this paper we introduce the FugledePutnum theorem for (n,m) power normal operators on a complex Hilbert space H. We give some basic properties. All operators are assumed to be bounded.

Simmel’s Rome: An Essay on Understanding and Self-Transcendence

Georg Simmel’s essay on Rome gives paradigmatic expression to an imponderable method that the philosopher practices for years, symbolized by the idea of a plumb line cast from the unstable waters of a sea to its firm foundations. Here Simmel shows how a complex and transhistorical city receives meaning through its multiply tense urban relations, constituting nonetheless a strangely coherent whole. Only circular thinking can adequately grasp this form of coherence. It requires seeing beyond conflicting facts as well as the reader’s own subject positions, in navigation of a space between inner and outer features of perceptual experience. The fragmented and variegated layout of Rome allegorizes that complex space of historical and cultural relations into which interpreting selves must venture to experience totalities that are neither self-evident in things nor in minds that seek their order.