Multi-dimensional Architecture Research Articles

Integration and Application of Online Sports Resources Based on Multidimensional Intelligent Technology and Resource Optimization Architecture

Share the relevant factors of the overall structure of the sports network in colleges and universities, and divide the overall structure of its operation system. In view of the unequal division of educational resources, this paper proposes the construction content of the college sports network education resource sharing mechanism: the construction of college sports network education resources, the college sports network education resource sharing platform, and the management and coordination of college network education resources sharing. In the guidance of cybernetics based on the basic characteristics of network education resources, the sharing of sports network education resources is realized, so as to effectively build a scientific evaluation index system.

Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring

The rapid increase in the number of Earth Observation (EO) systems generates a massive amount of heterogeneous data. It has raised big issues in collecting, preprocessing, storing, and the visualization these data. However, traditional techniques are facing serious challenges when dealing with big EO data dimensions (i.e., Volume, Veracity, Variety, and Velocity), especially in natural hazards management. Therefore, big data techniques and tools attract more attention. In this paper we propose a multidimensional model framework for Big EO data warehousing. This framework includes 3 parts: (1) Data collection and preprocessing, being responsible for collecting data and improving their quality; (2) Data loading and storage, performing the ingestion task which consists of transferring the data from external resources to the Big data platform for storage; and (3) Visualization and interpretation, aiming to provide spatio-temporal analysis. This framework could be useful for decision-makers in monitoring the effects of drought disasters and, consequently, planning the mitigation and remediation measures. Experiments are carried out on drought monitoring in China along the period 2000–2020. The input data include remote sensing data, biophysical data, and climatological data. The results reveal that the proposed framework has a higher retrieval speed and a greater elasticity with different kinds (i.e. spatial, temporal, or spatiotemporal) of requests compared to traditional frameworks, indicating its superiority.

A Developmental Approach to Assessing and Treating Agrammatic Aphasia.

There is mounting evidence that the agrammatism that defines Broca's aphasia can be explained in processing terms. However, the extant approach simply describes agrammatism as disparate deficits in a static, mature system. This tutorial aims to motivate and outline a developmental alternative. This alternative is processability theory (PT), a root-to-apex theory of language development, with its origins in the field of second language acquisition, which can connect the findings of aphasia research. This tutorial critically reviews research on agrammatism as a language deficit, a representational deficit, and a processing phenomenon. Given evidence from research applying PT to language disorders, this tutorial outlines PT's multidimensional architecture of language processing. Using an emergence (onset) criterion, PT predicts fixed developmental stages in word order (syntax) and inflection (morphology) and individual differences in the timing of syntax and morphology. To link PT to agrammatism, this theory's applications to diagnosis and teaching are overviewed, and a case study of five individuals with moderate agrammatism is presented. Analysis showed that all individuals were positioned in the early PT stages and differed in their timing of syntax and morphology consistent with theoretical predictions. Evidence from the case study suggests that, although agrammatism results from neural damage and associated language loss, the processing procedures necessary for relearning remain and can be exploited for recovery. A program of diagnosis and intervention is proposed, and future research directions are discussed. https://doi.org/10.23641/asha.19416488.

Integrated coaxial graphene-based yarn with multidimensional architecture for self-powered photoelectrochemical methane sensor

Effective and reliable methane detection is essential and critical to environment protection, and life and property safety. However, how to enable a sensing platform for methane monitoring with high sensitivity and stability, and meanwhile with excellent structural flexibility and ease of integration remains a significant challenge. Herein, an integrated coaxial yarn-shaped self-powered photoelectrochemical methane sensor was successfully designed and constructed by employing wet-spun graphene (G) fiber as the inner electrode, G-based mixed-dimensional materials hybridization as the outer electrode, and a polymer gel coated in-between as the electrolyte separator. The high surface roughness and significant transmittance of obtained device enabled effective adsorption capacity and essential light penetration. A continuous and thin gel electrolyte interlayer in the sensor and single-walled carbon nanotube (SWNT)-bridged interconnected conductive network in a multidimensional hybrid facilitated fast ion/electron transport. Ascribed to above structural merits, the resulting sensor delivered a wide linear range from 0.05% to 0.47% and a low detection limit of 0.02%, while maintaining rapid response (0.3 s), outstanding selectivity and perfect working performance during bending. This work provides useful guidelines for designing and fabricating photoelectrochemical sensors toward highly sensitive gas detection.

ACHIEVING SUSTAINABILITY HUMAN RESOURCES DEVELOPMENT

Sustainability is often associated with the natural environment, but it is actually multidimensional architecture that includes profit objectives, the Planet, and the people. In any organization, Human Resource Management (HRM) work should focus on achieving sustainability policies related to people, a section often overlooked in sustainability negotiations .Continuous Human Resource Management - a collection of personnel policies, procedures, and policies focuses on assisting financial, social, and environmental goals by managing people-the difference between organizational success and organizational efficiency. Only by involvement Sustainable HRM the organization can achieve its highest potential by increasing its capacity for this "part of the people" to achieve the goals and strategy of its business, present and future .Continuous Human Resource Management enables an organization to achieve its goals, while simultaneously empowering its employees to maximize their potential and achieve their goals in life. We present a review of sustainability and HR literature, and then we want to integrate these two ideas with a focus on opportunities for sustainable use in HR development. We use staff training facilities and performance appraisal as examples of creative thinking and innovation that needs to be brought to HRM for real improvement the human part of the Triple Bottom Line.

A Two-Stage Assessment Approach for QoS in Internet of Things based on Fuzzy Logic

In the sphere of IoT, one of the most significant issues is quality of service (QoS), which is critical for both developers and customers. As a result, IoT platform developers are working to enhance models that will meet consumer expectations in terms of IoT services meeting their expected specified levels of quality. The multidimensional architecture of the IoT platform, combined with the ambiguous mindset of consumers' thinking, makes QoS evaluation a difficult process. As a result, this study seeks to solve these issues and proposes a new paradigm for assessing QoS in IoT ecosystems. The proposed approach evaluates QoS in two steps, with the goal of assessing QoS at all levels. To address the issue of uncertainty, the metric values and QoS were represented using a fuzzy logic method. The model correctly estimated the QoS for 50 services in the dataset, and the results show that 16 services are classed as high quality, while 25 are rated as medium quality and the rest rated as low quality.

МНОГОМЕРНЫЙ ПОИСК В ЗАДАЧЕ РАЗМЕЩЕНИИ ЭЛЕМЕНТОВ СБИС НА ОСНОВЕ ГЕНЕТИЧЕСКОГО АЛГОРИТМА

All major manufacturers go to a decrease in the dimensions of modern microelectronic devices.This leads to the transition to new standards for designing and manufacturing SBSS.The well-known automated design algorithms are not fully able to implement new requirementswhen designing a SBI. In this regard, when solving the tasks of design design, there is a need todevelop new methods for solving this class task. One of these techniques can be a hybrid multidimensionalsearch system based on a genetic algorithm (GA). An automated approach to the designof the SB based on a genetic algorithm is described, which makes it possible to create an algorithmicmedium in the field of multidimensional genetic search to solve the NP full tasks, in particularthe placement of the VSA elements. The purpose of this work is to find ways to place the elementsof the SBI based on the genetic algorithm. The scientific novelty is to develop a modifiedmultidimensional genetic algorithm for automated design of super-high integrated circuits. Theformulation of the problem in this paper is as follows: optimize the placement of the ELEMENTSof the SBI by using, multidimensional modified hectares. The practical value of the work is to createa subsystem that allows you to use the developed multidimensional architecture, methods andalgorithms to effectively solve the tasks of the design design of the SDI, as well as conduct a comparativeanalysis with existing analogues. The fundamental difference from the well-known approachesin the application of new multidimensional genetic structures in the automated design ofthe SBI, in addition, the modified genetic algorithm was righteous. The results of the computationalexperiment showed the advantages of a multidimensional approach to solving the tasks of placingthe Elements of the SBI compared to existing analogues. Thus, the problem of creating methods,algorithms and software for the automated placement of the SBS elements is currently of particularrelevance. Its solution will improve the qualitative characteristics of the designable devices,will reduce the timing and costs of design.

Core Invariants of the Mathematical Model of an Intelligent System

A holistic description of a universal mathematical model for the concept of an intelligent system is given. It is based on formalized invariants associated with the processes of creating and applying such systems. The core of the model is formed by consistent descriptions for sections of knowledge formalisms, components of multidimensional architecture and knowledge flows processes within it, as well as cybernetic hierarchical multi agents systems that control the intelligent systems subjective existence. The fundamental invariants of the knowledge presentation and processing are directly implemented by these main sections basic elements. Invariants form unified set of intelligent systems general attributes. This set allows carrying out comprehensive formal modelling of the intelligence. These invariants are associated with knowledge aspects. They are developed and used at knowledge areas that deal with exploring the memory structural organization and thinking processes models. The tools for transforming the proposed abstract model into the models of specific intelligent systems are morphisms of homomorphic expansion. These morphisms concretize the content of the main structural and functional elements of the intelligent system fundamental model. At the same time, the varieties of entities implemented by model elements are narrowed to the families of objects that make up applied intelligent systems. These systems inherit the properties of fundamental model common elements. Intermediate models of the processes of converting the original model into applied ones allow studying these models properties by mathematical tools. Intermediate models form the basis for the subsequent development of the technology of creating and applying multilevel intelligent systems.

User interfaces ontology in the cybernetic model of intelligent systems

A model of an intelligent system is proposed for implementing the control and professional use of a knowledge collections related to subject area of software interfaces with external users. The basis of formalization is an abstract model of an intelligent system. It is based on coordinated and balanced invariants of the knowledge representation formalism model. Invariants set includes classes of morphisms for abstract knowledge processing modelling with morphisms' domains, invariants of the multidimensional architecture of intelligent systems components, which includes intercomponent knowledge flows and processes of knowledge synthesis within components, as well as invariants of control agents for abstract knowledge flows and processes within intelligent systems. The intelligent system knowledge base is presented as subject area ontology by non-ordered series of simple knowledge. Fragments of such ontology are distributed between components of intelligent systems three-dimensional architecture. The basis of such structure based on the dimensions of abstraction, structuring and the level of knowledge addressed to and processed within intelligent system's separate components. The ontologies reflect the ideas about the structures of memory and the processes of thinking used to model the schemes of the professional activity of a specialist. The basis for the formalization of such concepts is the fundamental principles of philosophy, linguistics, cognitive psychology, mathematics, and system engineering. This allows deploying a comprehensive system of classes of information structures and processes for complex knowledge synthesizing that support achievement of various cognitive goals implemented by specialists within professional tasks implementation processes. The goals system includes extraction, analysis and application of knowledge about user interfaces. The variety of such goals is modeled by a high-level implementation pattern system. They are composed of basic types of goals and are implemented using knowledge processing cognitive operations. Knowledge structures in the format of semantic hierarchies are used as a unified representation of knowledge. Cognitive goals are realized by combinations of operations on structured knowledge, adapted to special classes of structures.

Multi-dimensional ZnO@MWCNTs assembly derived from MOF-5 heterojunction as highly efficient microwave absorber

Metal-organic framework (MOF) derivatives have been arousing great attention in microwave absorption (MA) applications because of the adaptable morphological and component variance. However, it is still a huge challenge to construct multi-dimensional assembly with special heterostructure based on MOF and conductive carbon materials for excellent MA performance. Here, we successfully synthesized the cube-like assembly of multi-walled carbon nanotubes (MWCNTs) and ZnO (ZnO@MWCNTs) with unique multi-dimensional architecture via controlling the pyrolysis time of MOF-5 wrapped by MWCNTs. The ZnO@MWCNTs-4h are composed of zero-dimensional ZnO nanoparticles, one-dimensional MWCNTs, and three-dimensional micro-scale porous carbon framework. These various dimensional components confined within the cube space lead to the strong reflection loss (RL) at different frequencies, thus resulting in exceptional MA performance. The ZnO@MWCNTs-4h can reach a RL peak of −34.4 dB at only 1.5 mm thickness. More importantly, the maximum RL can achieve −47.4 dB at 2.7 mm with a mass loading as low as 20%. The optimized MA performance can be ascribed to high-density polarized sites, tightly interwoven MWCNTs conductive network, and strong multiple scattering that all induced by the multi-dimensional structures and components. Therefore, novel ZnO@MWCNTs composites are promising as a lightweight and highly efficient microwave absorber.

BitMatrix: A Multipurpose Sketch for Monitoring of Multi-tenant Networks

Sketches are probabilistic data structures capable of summarizing and storing network data (packets, bytes, and flows), with a certain degree of accuracy, that have become widely popular for network measurement and monitoring. In this paper, we propose a new multi-purpose sketch, called BitMatrix, which is capable of working in multi-tenant networks. Owing to its multi-dimensional architecture, BitMatrix can differentiate between bit markings and byte/packet counting from different sources in a network. As a multi-purpose sketch, BitMatrix and its algorithms contribute to the literature by providing information regarding the paths traversed by each packet and are designed for use in multi-tenant networks. We also designed a statistical model to adjust the measurements owing to the probabilistic behavior of the sketches. Such a model is able to infer the standard error rate and approximate the BitMatrix counters to the real value. The adjusted BitMatrix measurement has a Mean Absolute Percentage Error of ± 6.14%. The BitMatrix sketch was implemented using P4 language and a simulator was also developed, that allowed its scaling using real traces from CAIDA in an NSF network topology.

Multi-dimensional architecture of Ag/α-Ag2WO4 crystals: insights into microstructural, morphological, and photoluminescence properties

Varying the concentration of ethylenediamine resulted in hollow or solid Ag/α-Ag2WO4 microflowers that emit light in the red region or in the blue region, respectively.

2D Titania-Carbon Superlattices Vertically Encapsulated in 3D Hollow Carbon Nanospheres Embedded with 0D TiO2 Quantum Dots for Exceptional Sodium-Ion Storage.

Two-dimensional (2D) superlattices offer promising technological opportunities in tuning the intercalation chemistry of metal ions. Now, well-ordered 2D superlattices of monolayer titania and carbon with tunable interlayer-spacing are synthesized by a molecularly mediated thermally induced approach. The 2D superlattices are vertically encapsulated in hollow carbon nanospheres, which are embedded with TiO2 quantum dots, forming a 0D-2D-3D multi-dimensional architecture. The multi-dimensional architecture with the 2D superlattices encapsulated inside exhibits a near zero-strain characteristic and enriched electrochemical reactivity, achieving a highly efficient Na+ storage performance with exceptional rate capability and superior long-term cyclability.

NiCo alloy nanoparticles encapsulated in multi-dimensional N-doped carbon architecture as efficient bifunctional catalyst for rechargeable zinc-air batteries

One of the crucial issues in rechargeable zinc-air batteries is to explore low-cost, highly efficient bifunctional electrocatalysts for the oxygen reduction/evolution reaction. Here, the unique NiCo alloy nanoparticles encapsulated in the multi-dimensional nitrogen-doped carbon architecture (NiCo/MNC) is reported as an effective bifunctional catalyst for rechargeable zinc-air batteries. The multi-dimensional nitrogen-doped carbon architecture was synthesized through the rapid calcination of two-dimensional graphitic carbon nitride (g-C3N4) and one-dimensional multi-walled carbon nanotubes (MWCNTs). The g-C3N4 serves as the nitrogen source and the precursor for N-doped carbon nanosheets (NCSs). Simultaneously, NCSs can intertwine with MWCNTs to further obtain the multi-dimensional architecture with a large specific surface area. The synergistic effect between multi-dimensional nitrogen-doped carbon architectures and NiCo alloy nanoparticles endowed the NiCo/MNC with a positive half-wave potential of 0.83 V (vs. RHE: Reversible Hydrogen Electrode) for oxygen reduction reaction and a low potential of 1.61 V (vs. RHE) at the current density of 10 mA cm−2 for oxygen evolution reaction. Moreover, the zinc-air battery assembled with NiCo/MNC as the air-cathode exhibited a high-power density of 135.2 mW cm−2, a specific capacity of 701.7 mAh g−1, and an excellent stability in charging/discharging cycle test (over 115 h). The prepared catalyst could potentially serve to take the place of precious metal catalysts in rechargeable zinc-air batteries.

Introducing multi-dimensional brand architecture: taking structure, market orientation and stakeholder alignment into account

Traditional research in brand architecture has primarily focused on bipolar, structural models describing brand constellations viewed from the brand owner’s angle of incidence. This paper further extends previous theorization within strategic brand management by offering the Conceptual Integrated Multi-dimensional Architecture (CIMA) model as an incorporation of existing research in brand architecture, arranged according to hierarchical structure, degree of collaboration with third parties and alignment with consumer perceptions. Traditional brand architecture is broadened using two additional dimensions—the level of intercompany partnerships and perceptional congruency between stakeholders—to produce a model that distinguishes between open and closed brand structures and includes the consumers’ perceptions as a mediator of brand strategy efficiency. The CIMA model implies that strategic brand management should consider the possible effects of third-party collaboration, in conjunction with consumer beliefs, on the efficiency of the pursued brand strategy and selected go-to-market approach. By including these two additional dimensions, marketing executives may find a more nuanced view of the potential challenges and obstacles that stand in the way of successful brand strategy execution. The paper is concluded by discussing the implications of this conceptual model and suggests a number of future research directions for brand architecture and brand portfolio management.

Chris Ware e la costruzione dello spazio rizomatico

Space and time in comics are inextricably linked (Kukkonen 2013). Since the beginning of this medium, cartoonist have filled the extent of the page with details and complex structures to capture, cage and represent the flow of time for narrative purposes (Barbieri 1991 e 2010, Frezza 1999). On the comic page composed by the author, we often walk through the stories moving forward linearly panel by panel until the conclusion. The material support on which the story appears, far from being a neutral element, directs not only the relationship of the author with the semiotic space of the sequential narration (Noth 1990), but it also acts on the perceptive, affective and sensory relationship between device and readership. Therefore, the extent of the page and material support offer to cartoonist freedom and restrictions, impose rules and conventions that may be adopted or broken, or shown and overcome (Lefevre 2009). At a time of powerful reconfiguration of comics arrangements, in direction of massive convergence of media, cultures and technologies (Jenkins 2007), we have many examples of works working on the spatial structures, in a physical and semiotic sense, of comics media. Among these experimentations, we will be focusing on the case of Chris Ware, an authore capable of shaping rhizomatic temporal and narrative structures with a graphic style apparently simple and linear (on the rhizome concept we refer to Deleuze and Guattari 2003). In this renovated mediascape, conquers new spaces also a metariflexive and philosohical type of comic able to rethink its own iconopoietic terms: the best example of this graphic form able to be configured as a real adventure for images in the territories of though, is the work of Chris Ware (Tinkler 2008, Ball, Kuhlman 2011, Bartual 2012). In this essay we will analyze the graphic novel Building Stories (2012) (Dittmer 2014, Siirtola 2014, Morini 2015). We are going to try to understand the strategies with which the author uses the graphic novel as an instrument of thought to rethink the limits and boundaries of the page, setting himself outside the traditional sequential narrative logic in a multidimensional architecture direction. (Bredehoft 2006, Reid 2017). We are gong to investigate the unusual construction of the narrative space that is not limited just to the single page of the classic graphic novel, radically renewing the forms (Baetens 2008), with extra-narrative artifices in a story with open architecture that can be followed in several direction and through the most varied supports and devices (Hadler e Irrgang 2014). The construction of this atypical and non-hierarchical narrative space opens the door to a new idea of comics, capable of confronting - and benefitting from - with the hybrid, immersive, distributed and participated space of digital media and the Web.

Multi-dimensional architecture materials of amino acids and metal ions

A simple self-assembly method for the preparation of functional multi-dimensional architecture materials.

A Novel Approach for Information Discovery in Wireless Sensor Grids

Multi-dimensional Wireless sensor grids (WSG)s are deployed in complex environments to sense and collect data relating to multiple attributes (multi-dimensional data). Such networks present unique challenges to data dissemination, data storage of in-network information discovery. However, in order to fully exploit these networks for mission-critical applications, energy-efficient and scalable solutions for information discovery are essential. In this paper, we propose a novel and adaptive method for information discovery for multi-dimensional WSGs that can significantly increase network lifetime and minimize query processing latency, resulting in quality of service improvements that are of immense benefit to mission-critical applications. Further, we investigate efficient strategies for information discovery in large-scale wireless sensor networks and propose the Adaptive Multi-Dimensional Multi-Resolution Architecture (A-MDMRA) that efficiently combines “push” and “pull” strategies for information discovery. The A-MDMRA also adapts to variations in the frequencies of events and queries in the network to construct optimal routing structures. We present simulation results to show that the proposed approach to information discovery offers significant improvements on query resolution latency compared with current approaches. We observe that our proposed methods outperform existing schemes such as double rulings, comb needle and Time-Parameterized Data Centric Storage by up to 14% in terms of query resolution latency and up to 20% in terms of energy-efficiency.

A Nitrogen-Rich Carbon Welded Multi-Dimensional Architecture for High Mass Loading Sulfur Cathode

Lithium/sulfur (Li/S) batteries hold promising potential for next-generation energy storage because of their high theoretical energy density, but their practical application is hindered by low utilization of sulfur and fast capacity fading. Herein, we propose a novel cathode structure with sulfur infused into a 3D nanocarbon architecture which is constructed by welding nitrogen-doped graphene (NG) and carbon nanotubes (NCNT) together with nitrogen-doped carbon shells (NCS). The rationally designed structure provides a robust and efficient network for electron conduction and lithium ion transporting as well as strong physical and chemical confinements to sulfur and polysulfides, which is confirmed by the electrochemical and in-situ Raman analysis. The NG-NCNT@NCS@S cathode exhibits a high initial discharge capacity of 1421 mA h g-1, corresponding to ~82% sulfur utilization at 0.05C, excellent rate capacities of 750 mA h g-1 at 2C and 465 mA h g-1 at 5C, and a capacity fading rate as low as 0.037% per cycle at 2C for up to 1400 cycles. Most importantly, cathodes with areal sulfur loading up to 10.2 mg cm-2 can be readily prepared and deliver an outstanding areal capacity of 5.43 mA h cm-2 after 150 cycles at a high current rate (1C), suggesting its bright prospect in advanced Li/S batteries.

Implementation of a Multirate Resampler for Multi-carrier Systems on GPUs

Efficient sample rate conversion is of widespread importance in modern communication and signal processing systems. Although many efficient kinds of polyphase filterbank structures exist for this purpose, they are mainly geared toward serial, custom, dedicated hardware implementation for a single task. There is, therefore, a need for more flexible sample rate conversion systems that are resource-efficient, and provide high performance. To address these challenges, we present in this paper an all-software-based, fully parallel, multirate resampling method based on graphics processing units (GPUs). The proposed approach is well-suited for wireless communication systems that have simultaneous requirements on high throughput and low latency. Utilizing the multidimensional architecture of GPUs, our design allows efficient parallel processing across multiple channels and frequency bands at baseband. The resulting architecture provides flexible sample rate conversion that is designed to address modern communication requirements, including real-time processing of multiple carriers simultaneously.