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Critical Factors of Disruptive Innovation: A Review

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Critical Factors of Disruptive Innovation: A Review

International Conference on computer Applications and Industrial Electronics (ICCAIE)

作者： Yoga Prihastomo Harjanto Prabowo Agung Trisetyarso Haryono Soeparno Computer Science Department - BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department - Department of Mathematics Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350348798

ISBN: (纸本)9798350348804

People acknowledge innovation as a critical and central factor in increasing economic output and productivity. The phrase disruptive innovation was first familiarized in 1995 and has evolved into a new phenomenon. It exemplifies how a new entrant in a field can eventually compete with the incumbent. Furthermore, many of them may replace them. The study strives to identify the critical factors underlying disruptive innovations. This study employs a systematic literature review strategy and PRISMA meta-analysis. It refers to various reputable data sources from 2013 to 2022. The study included 5,305 articles, analyzed 183 articles that encountered the criteria, and employed 45 appropriate articles. As a result, it encounters six critical factors to disruptive innovation: demand, technology readiness, regulation, labor, external technology, and capital. The proposed formula encapsulates a Success Score for assessing disruptive innovations, integrating various essential factors contributing to success.

关键词： Productivity Industrial electronics Economics Technological innovation Disruptive innovation Systematics Reviews

Convex Optimization Techniques for High-Dimensional Data Clustering Analysis: A Review

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Iraqi Journal for Computer Science and Mathematics

Iraqi Journal for computer science and mathematics 2024年第3期5卷 378-398页

作者： Yousif, Ahmed Yacoub Al-Sarray, Basad University of Baghdad College of Science Mathematics Department Baghdad Iraq University of Technology Department of Applied Sciences Baghdad Iraq University of Baghdad College of Science Computer Science Department Iraq

Clustering techniques have been instrumental in discerning patterns and relationships within datasets in data analytics and unsupervised machine learning. Traditional clustering algorithms struggle to handle real-world data analysis problems where the number of clusters is not readily identifiable. Moreover, they face challenges in determining the optimal number of clusters for high-dimensional datasets. Consequently, there is a demand for enhanced, adaptable and efficient techniques. Convex clustering, rooted in a rich mathematical framework, has steadily emerged as a pivotal alternative to traditional techniques. It amalgamates the strengths of conventional approaches while ensuring robustness and guaranteeing globally optimal solutions. This review offers an in-depth exploration of convex clustering, detailing its formulation, challenges and practical applications. It examines synthetic datasets, which serve as foundational platforms for academic exploration, emphasizing their interactions with the semi-smooth Newton augmented Lagrangian (SSNAL) algorithm. Convex clustering provides a robust theoretical foundation, but challenges, including computational limitations with expansive datasets and noise management in high-dimensional contexts, persist. Hence, the paper discusses current challenges and prospective future directions in the domain. This research aims to illuminate the potency and potential of convex clustering in modern data analytics, highlighting its robustness, flexibility and adaptability across diverse datasets and applications. © 2024 College of Education, Al-Iraqia University. All rights reserved.

关键词： Lagrange multipliers

A New Matrix Truncation Method for Improving Approximate Factorisation Preconditioners

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arXiv 2023年

作者： Bock, Andreas A. Andersen, Martin S. Department of Applied Mathematics and Computer Science Technical University of Denmark Denmark

In this experimental work, we present a general framework based on the Bregman log determinant divergence for preconditioning Hermitian positive definite linear systems. We explore this divergence as a measure of discrepancy between a preconditioner and a matrix. Given an approximate factorisation of a given matrix, the proposed framework informs the construction of a low-rank approximation of the typically indefinite factorisation error. The resulting preconditioner is therefore a sum of a Hermitian positive definite matrix given by an approximate factorisation plus a low-rank matrix. Notably, the low-rank term is not generally obtained as a truncated singular value decomposition (TSVD). This framework leads to a new truncation where principal directions are not based on the magnitude of the singular values, and we prove that such truncations are minimisers of the aforementioned divergence. We present several numerical examples showing that the proposed preconditioner can reduce the number of PCG iterations compared to a preconditioner constructed using a TSVD for the same rank. We also propose a heuristic to approximate the proposed preconditioner in the case where exact truncations cannot be computed explicitly (e.g. in a large-scale setting) and demonstrate its effectiveness over TSVD-based *** Codes 15A99, 65F08, 65F30 © 2023, CC BY.

关键词： Singular value decomposition

From Euler-Jacobi to Bogoyavlensky and back

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arXiv 2025年

作者： Murari, Davide Sansonetto, Nicola Department of Applied Mathematics and Theoretical Physics University of Cambridige United Kingdom Department of Computer Science University of Verona Italy

This work focuses on two notions of non-Hamiltonian integrable systems: Bintegrability and Euler–Jacobi integrability. We first show that the first notion is stronger. We then investigate which possible "non-evident" properties one can add to the Euler–Jacobi Theorem to make the dynamics *** Codes 37J35, 37J60, 37J15, 70H06 © 2025, CC BY.

关键词： Hamiltonians

Multifunctional resonant wavefront-shaping meta-optics based on multilayer and multi-perturbation nonlocal metasurfaces

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Light(science & Applications) 2022年第9期11卷 2194-2206页

作者： STEPHANIE CMALEK ADAM COVERVIG ANDREA ALÙ NANFANG YU Department of Applied Physics and Applied Mathematics Columbia UniversityNew YorkNY 10027USA Photonics Initiative Advanced Science Research CenterCity University of New YorkNew YorkNY 10031USA Physics Program Graduate CenterCity University of New YorkNew YorkNY 10016USA

Photonic devices rarely provide both elaborate spatial control and sharp spectral control over an incoming *** optical metasurfaces,for example,the localized modes of individual meta-units govern the wavefront shape over a broad bandwidth,while nonlocal lattice modes extended over many unit cells support high quality-factor ***,we experimentally demonstrate nonlocal dielectric metasurfaces in the near-infrared that offer both spatial and spectral control of light,realizing metalenses focusing light exclusively over a narrowband resonance while leaving off-resonant frequencies *** devices attain this functionality by supporting a quasi-bound state in the continuum encoded with a spatially varying geometric *** leverage this capability to experimentally realize a versatile platform for multispectral wavefront shaping where a stack of metasurfaces,each supporting multiple independently controlled quasi-bound states in the continuum,molds the optical wavefront distinctively at multiple wavelengths and yet stay transparent over the rest of the *** a platform is scalable to the visible for applications in augmented reality and transparent displays.

关键词： spectrum resonant supporting

Automatic Identification of Table Contents in Electronic Component Specifications of EDA 28th

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Automatic Identification of Table Contents in Electronic Com...

28th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2023

作者： Hong, Tzung-Pei Xu, Yi-Zhen Huang, Shi-Feng Chen, Yi-Ting Lee, Ming-Han Department of Computer Science and Information Engineering National University of Kaohsiung Kaohsiung Taiwan Graduate Institute of Statistics National Central University Taoyuan Taiwan Footprintku Inc. Kaohsiung Taiwan Department of Applied Mathematics National University of Kaohsiung Kaohsiung Taiwan

ISBN: (纸本)9789819717132

With the rapid advancement of technology, the electronics industry has flourished in recent decades. Electronic products such as computers, mobile phones, and smart televisions are ubiquitous in our daily lives. In the design, manufacturing, and maintenance processes of electronic products, a large number of electronic components are required. The relevant information of these components is usually recorded in the tables of electronic component specifications. In this paper, we design methods to recognize and extract contents from tables, which typically contain vital information about electronic components, such as their characteristics and packaging methods. Our approach utilizes text processing techniques to structurally process and analyze the extracted table content, enabling us to obtain the specific information we need. We categorize tables in PDFs into different types and explore relevant information from them using the procedure of each type. The experimental results demonstrate that our method can achieve a high accuracy rate of over 90% in recognizing table contents. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Specifications

AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces

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arXiv 2023年

作者： da Mata, João Victor Galvão Andersen, Martin S. Department of Applied Mathematics and Computer Science Technical University of Denmark Denmark

We introduce AdaSub, a stochastic optimization algorithm that computes a search direction based on second-order information in a low-dimensional subspace that is defined adaptively based on available current and past information. Compared to first-order methods, second-order methods exhibit better convergence characteristics, but the need to compute the Hessian matrix at each iteration results in excessive computational expenses, making them impractical. To address this issue, our approach enables the management of computational expenses and algorithm efficiency by enabling the selection of the subspace dimension for the search. Our code is freely available on GitHub, and our preliminary numerical results demonstrate that AdaSub surpasses popular stochastic optimizers in terms of time and number of iterations required to reach a given accuracy. © 2023, CC BY.

关键词： Optimization

MULTI-VIEW SELF-SUPERVISED LEARNING FOR MULTIVARIATE VARIABLE-CHANNEL TIME SERIES

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arXiv 2023年

作者： Brüsch, Thea Schmidt, Mikkel N. Alstrøm, Tommy S. Department of Applied Mathematics and Computer Science Technical University of Denmark Denmark

Labeling of multivariate biomedical time series data is a laborious and expensive process. Self-supervised contrastive learning alleviates the need for large, labeled datasets through pretraining on unlabeled data. However, for multivariate time series data, the set of input channels often varies between applications, and most existing work does not allow for transfer between datasets with different sets of input channels. We propose learning one encoder to operate on all input channels individually. We then use a message passing neural network to extract a single representation across channels. We demonstrate the potential of this method by pretraining our model on a dataset with six EEG channels and then fine-tuning it on a dataset with two different EEG channels. We compare models with and without the message passing neural network across different contrastive loss functions. We show that our method, combined with the TS2Vec loss, outperforms all other methods in most settings. © 2023, CC BY.

关键词： Message passing

Low-temperature spin Seebeck effect in nonmagnetic vanadium dioxide

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Physical Review B 2024年第2期110卷 024415-024415页

作者： Renjie Luo Tanner J. Legvold Liyang Chen Henry Navarro Ali C. Basaran Deshun Hong Changjiang Liu Anand Bhattacharya Ivan K. Schuller Douglas Natelson Department of Physics and Astronomy Applied Physics Graduate Program Rice Quantum Institute Department of Physics and Center for Advanced Nanoscience Materials Science Division Department of Electrical and Computer Engineering Department of Materials Science and NanoEngineering

The spin Seebeck effect (SSE) is sensitive to thermally driven magnetic excitations in magnetic insulators. Vanadium dioxide in its insulating low-temperature phase is expected to lack magnetic degrees of freedom, as vanadium atoms are thought to form singlets upon dimerization of the vanadium chains. Instead, we find a paramagnetic SSE response in VO2 films that grows as the temperature decreases below 50 K. The field and temperature-dependent SSE voltage is qualitatively consistent with a general model of paramagnetic SSE response and inconsistent with triplet spin transport. Quantitative estimates find a spin Seebeck coefficient comparable in magnitude to that observed in strongly magnetic materials. The microscopic nature of the magnetic excitations in VO2 requires further examination.

关键词： Spin Seebeck effect Paramagnets Strongly correlated systems