Vibration Confinement via Optimal Eigenvector Assignment and Piezoelectric Networks

2001 ◽  
Author(s):  
J. Tang ◽  
K. W. Wang
Keyword(s):  
Design Space ◽  
State Of The Art ◽  
The State ◽  
Regions Of Interest ◽  
Control Input ◽  
Eigenstructure Assignment ◽  
Assignment Algorithm ◽  
Underlying Principle ◽  
Rayleigh Principle ◽  
Selection Of

Abstract The underlying principle for vibration confinement is to alter the structural modes so that the corresponding modal components have much smaller amplitude in concerned areas than the remaining part of the structure. In this research, the state-of-the-art in vibration confinement technique is advanced in two correlated ways. First, a new eigenstructure assignment algorithm is developed to more directly suppress vibration in regions of interest. This algorithm is featured by the optimal selection of achievable eigenvectors that minimizes the eigenvector components at concerned areas by using the Rayleigh Principle. Second, the active control input is applied through an active-passive hybrid piezoelectric network. With the introduction of circuitry elements, which is much easier to implement than changing or adding mechanical components, the state matrices can be reformed and the design space in eigenstructure assignment can be greatly enlarged. The merit of the proposed system and scheme is demonstrated and analyzed using a numerical example.

Vibration Confinement via Optimal Eigenvector Assignment and Piezoelectric Networks

2004 ◽  
Vol 126 (1) ◽  
pp. 27-36 ◽  
Author(s):  
J. Tang ◽  
K. W. Wang
Keyword(s):  
The State ◽  
Simultaneous Optimization ◽  
Structural Vibration ◽  
Control Input ◽  
Eigenstructure Assignment ◽  
Assignment Algorithm ◽  
Underlying Principle ◽  
Rayleigh Principle ◽  
Assignment Approach ◽  
Selection Of

The underlying principle for vibration confinement is to alter the structural vibration modes so that the corresponding modal components have much smaller amplitude in concerned area than in the remaining part of the structure. In this research, the state-of-the-art in vibration confinement technique is advanced in two correlated ways. First, a new eigenstructure assignment algorithm is developed to more directly suppress vibration in regions of interest. This algorithm is featured by the optimal selection of achievable eigenvectors that minimizes the eigenvector components at concerned region by using the Rayleigh Principle. Second, the active control input is applied through an active-passive hybrid piezoelectric network. With the introduction of circuitry elements, which are much easier to implement than changing or adding mechanical components, the state matrices can be reformed and the design space for eigenstructure assignment can be greatly enlarged. To maximize the system performance, a simultaneous optimization/optimal eigenvector assignment approach to decide the passive and active parameters concurrently is outlined. The merits of the proposed system and scheme are demonstrated and analyzed using numerical examples.

An Explorative Study of Virtual Product Placement

2011 ◽  
pp. 122-147
Author(s):  
Chia-Hu Chang ◽  
Ja-Ling Wu
Keyword(s):  
Domain Knowledge ◽  
Design Space ◽  
State Of The Art ◽  
Product Placement ◽  
The State ◽  
Explorative Study ◽  
Advertising Message ◽  
Computational Aesthetics ◽  
The Right ◽  
Virtual Product

With the aid of content-based multimedia analysis, virtual product placement opens up new opportunities for advertisers to effectively monetize the existing videos in an efficient way. In addition, a number of significant and challenging issues are raising accordingly, such as how to less-intrusively insert the contextually relevant advertising message (what) at the right place (where) and the right time (when) with the attractive representation (how) in the videos. In this chapter, domain knowledge in support of delivering and receiving the advertising message is introduced, such as the advertising theory, psychology and computational aesthetics. We briefly review the state of the art techniques for assisting virtual product placement in videos. In addition, we present a framework to serve the virtual spotlighted advertising (ViSA) for virtual product placement and give an explorative study of it. Moreover, observations about the new trend and possible extension in the design space of virtual product placement will also be stated and discussed. We believe that it would inspire the researchers to develop more interesting and applicable multimedia advertising systems for virtual product placement.

scholarly journals 3D Printing in Heterogeneous Catalysis—The State of the Art

Materials ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 4534 ◽  
Author(s):  
Elżbieta Bogdan ◽  
Piotr Michorczyk
Keyword(s):  
Additive Manufacturing ◽  
Heterogeneous Catalysis ◽  
3D Printing ◽  
Chemical Synthesis ◽  
State Of The Art ◽  
Three Dimensional ◽  
Production Method ◽  
The State ◽  
Monolithic Catalysts ◽  
Selection Of

This paper describes the process of additive manufacturing and a selection of three-dimensional (3D) printing methods which have applications in chemical synthesis, specifically for the production of monolithic catalysts. A review was conducted on reference literature for 3D printing applications in the field of catalysis. It was proven that 3D printing is a promising production method for catalysts.

scholarly journals Design and evaluation of a biologically-inspired cloud elasticity framework

2020 ◽  
Vol 23 (4) ◽  
pp. 3095-3117
Author(s):  
Amjad Ullah ◽  
Jingpeng Li ◽  
Amir Hussain
Keyword(s):  
Fuzzy System ◽  
State Of The Art ◽  
The State ◽  
Effective Management ◽  
Biologically Inspired ◽  
Computational Overhead ◽  
Cloud Elasticity ◽  
Computational Resources ◽  
Auto Scaling ◽  
Selection Of

Abstract The elasticity in cloud is essential to the effective management of computational resources as it enables readjustment at runtime to meet application demands. Over the years, researchers and practitioners have proposed many auto-scaling solutions using versatile techniques ranging from simple if-then-else based rules to sophisticated optimisation, control theory and machine learning based methods. However, despite an extensive range of existing elasticity research, the aim of implementing an efficient scaling technique that satisfies the actual demands is still a challenge to achieve. The existing methods suffer from issues like: (1) the lack of adaptability and static scaling behaviour whilst considering completely fixed approaches; (2) the burden of additional computational overhead, the inability to cope with the sudden changes in the workload behaviour and the preference of adaptability over reliability at runtime whilst considering the fully dynamic approaches; and (3) the lack of considering uncertainty aspects while designing auto-scaling solutions. In this paper, we aim to address these issues using a holistic biologically-inspired feedback switch controller. This method utilises multiple controllers and a switching mechanism, implemented using fuzzy system, that realises the selection of suitable controller at runtime. The fuzzy system also facilitates the design of qualitative elasticity rules. Furthermore, to improve the possibility of avoiding the oscillatory behaviour (a problem commonly associated with switch methodologies), this paper integrates a biologically-inspired computational model of action selection. Lastly, we identify seven different kinds of real workload patterns and utilise them to evaluate the performance of the proposed method against the state-of-the-art approaches. The obtained computational results demonstrate that the proposed method results in achieving better performance without incurring any additional cost in comparison to the state-of-the-art approaches.

scholarly journals Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection

2019 ◽  
Author(s):  
Chaotao Chen ◽  
Jinhua Peng ◽  
Fan Wang ◽  
Jun Xu ◽  
Hua Wu
Keyword(s):  
State Of The Art ◽  
The State ◽  
Target Response ◽  
Empirical Results ◽  
Art Methods ◽  
Mapping Mechanism ◽  
The One ◽  
Selection Of

In human conversation an input post is open to multiple potential responses, which is typically regarded as a one-to-many problem. Promising approaches mainly incorporate multiple latent mechanisms to build the one-to-many relationship. However, without accurate selection of the latent mechanism corresponding to the target response during training, these methods suffer from a rough optimization of latent mechanisms. In this paper, we propose a multi-mapping mechanism to better capture the one-to-many relationship, where multiple mapping modules are employed as latent mechanisms to model the semantic mappings from an input post to its diverse responses. For accurate optimization of latent mechanisms, a posterior mapping selection module is designed to select the corresponding mapping module according to the target response for further optimization. We also introduce an auxiliary matching loss to facilitate the optimization of posterior mapping selection. Empirical results demonstrate the superiority of our model in generating multiple diverse and informative responses over the state-of-the-art methods.

scholarly journals The Automated Negotiating Agents Competition, 2010–2015

AI Magazine ◽  
2015 ◽  
Vol 36 (4) ◽  
pp. 115-118 ◽  
Author(s):  
Tim Baarslag ◽  
Reyhan Aydoğan ◽  
Koen V. Hindriks ◽  
Katsuhide Fujita ◽  
Takayuki Ito ◽  
...  
Keyword(s):  
Learning Strategies ◽  
Design Space ◽  
State Of The Art ◽  
The State ◽  
New Techniques ◽  
Negotiation Agents ◽  
International Event ◽  
Acceptable Agreement

The Automated Negotiating Agents Competition is an international event that, since 2010, has contributed to the evaluation and development of new techniques and benchmarks for improving the state-of-the-art in automated multi-issue negotiation. A key objective of the competition has been to analyze and search the design space of negotiating agents for agents that are able to operate effectively across a variety of domains. The competition is a valuable tool for studying important aspects of negotiation including profiles and domains, opponent learning, strategies, bilateral and multilateral protocols. Two of the challenges that remain are: How to develop argumentation-based negotiation agents that next to bids, can inform and argue to obtain an acceptable agreement for both parties, and how to create agents that can negotiate in a human fashion.

scholarly journals LEAP: A Generalization of the Landau-Vishkin Algorithm with Custom Gap Penalties

2017 ◽  
Author(s):  
Hongyi Xin ◽  
Jeremie Kim ◽  
Sunny Nahar ◽  
Can Alkan ◽  
Onur Mutlu
Keyword(s):  
State Of The Art ◽  
String Matching ◽  
The State ◽  
Levenshtein Distance ◽  
Approximate String Matching ◽  
Matching Problem ◽  
De Bruijn Sequence ◽  
Scoring Schemes ◽  
Bit Vector ◽  
Selection Of

AbstractMotivationApproximate String Matching is a pivotal problem in the field of computer science. It serves as an integral component for many string algorithms, most notably, DNA read mapping and alignment. The improved LV algorithm proposes an improved dynamic programming strategy over the banded Smith-Waterman algorithm but suffers from support of a limited selection of scoring schemes. In this paper, we propose the Leaping Toad problem, a generalization of the approximate string matching problem, as well as LEAP, a generalization of the Landau-Vishkin’s algorithm that solves the Leaping Toad problem under a broader selection of scoring schemes.ResultsWe benchmarked LEAP against 3 state-of-the-art approximate string matching implementations. We show that when using a bit-vectorized de Bruijn sequence based optimization, LEAP is up to 7.4x faster than the state-of-the-art bit-vector Levenshtein distance implementation and up to 32x faster than the state-of-the-art affine-gap-penalty parallel Needleman Wunsch Implementation.AvailabilityWe provide an implementation of LEAP in C++ at github.com/CMU-SAFARI/[email protected], [email protected] or [email protected]

scholarly journals Persuasive Technology and Energy: critical analysis of the state of the art

2015 ◽  
Vol Volume 4, Number 1, Special... (Special Issue...) ◽  
Author(s):  
Grégory Cano ◽  
Yann Laurillau ◽  
Gaëlle Calvary
Keyword(s):  
Energy Consumption ◽  
Critical Analysis ◽  
Design Space ◽  
State Of The Art ◽  
Persuasive Technology ◽  
The State ◽  
Systematic Analysis ◽  
Persuasive Technologies ◽  
International Audience ◽  
Six Dimensions

International audience This paper presents a state of the art and an analysis of existing works dedicated to persuasive technologies for energy consumption. Thanks to a systematic analysis, a set of concepts of persuasion has been identified and organized into a six dimensional design space. In particular, the concept of persuasion function is identified and defined. Six persuasion functions are identified: Mirror, Explain, Recommend, What-if, What-for, Suggest-and-Adjust. This design space is used to characterize the works considered in this state of the art. Cet article dresse un état de l’art et une analyse critique des travaux menés sur la persuasion technologique dans le cadre de la consommation énergétique. De cette analyse systématique est extrait un panel des concepts de persuasion ensuite organisé au sein d’un espace de classification comportant six dimensions dont le concept de fonction de persuasion. En particulier, six fonctions de persuasion sont identifiées et caractérisées : Mirror, Explain, Recommend, What-if, What-for, Suggest- and-Adjust. Cet espace de classification permet de caractériser les travaux de l’art.

scholarly journals How the Knowledge of the Major Researchers Is Forging the Business Strategy Paths: Trends and Forecasts from the State of the Art

2020 ◽  
Vol 24 (3) ◽  
pp. 1
Author(s):  
Luís César Ferreira Motta Barbosa ◽  
Maria Augusta Siqueira Mathias ◽  
Gilberto Manuel Santos ◽  
Otávio José De Oliveira
Keyword(s):  
Business Strategy ◽  
Scientific Literature ◽  
State Of The Art ◽  
The State ◽  
Research Areas ◽  
Level Of Details ◽  
Important Field ◽  
Number Of Publications ◽  
Production Period ◽  
Selection Of

<p><strong>Purpose:</strong> Given its large number of publications, the subject “strategy” stands out as an important field of scientific literature with multidisciplinary characteristics, involving the most varied research areas. The aim of this paper is to analyse the state of the art on business strategy, which have enabled the identification of the characteristics of the most influential articles and authors.</p><p><strong>Methodology/Approach:</strong> This article is a literature review based on bibliometric parameters, which the main novelty has been the identification of specific characteristics of the main publications and researchers on business strategy during the peak production period of 1998-2017.</p><p><strong>Findings:</strong> The main contribution of this article is to guide researchers interested in developing studies related to business strategy, highlighting the subject’s chronological evolution and the correlations analyses among publications.</p><p><strong>Research Limitation/implication:</strong> The searches and selection of bibliometric parameters have been limited to two of the most relevant databases (Scopus and Web of Science). Another restriction was that only articles and reviews containing the term “business strategy” in their respective titles were considered.</p><strong>Originality/Value of paper:</strong> Although bibliometric studies have already been published in managerial and strategic areas and subareas, the scientific literature still lacks articles with the same level of details and analysis performed in this paper, which portrays the main novelty of this research.

scholarly journals Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation

2020 ◽  
Vol 34 (05) ◽  
pp. 8910-8917
Author(s):  
Yun-Zhu Song ◽  
Hong-Han Shuai ◽  
Sung-Lin Yeh ◽  
Yi-Lun Wu ◽  
Lun-Wei Ku ◽  
...  
Keyword(s):  
State Of The Art ◽  
Specific Form ◽  
The State ◽  
News Article ◽  
Online Media ◽  
Generation Model ◽  
Reinforced Learning ◽  
Massive Information ◽  
News Headlines ◽  
Selection Of

With the rapid proliferation of online media sources and published news, headlines have become increasingly important for attracting readers to news articles, since users may be overwhelmed with the massive information. In this paper, we generate inspired headlines that preserve the nature of news articles and catch the eye of the reader simultaneously. The task of inspired headline generation can be viewed as a specific form of Headline Generation (HG) task, with the emphasis on creating an attractive headline from a given news article. To generate inspired headlines, we propose a novel framework called POpularity-Reinforced Learning for inspired Headline Generation (PORL-HG). PORL-HG exploits the extractive-abstractive architecture with 1) Popular Topic Attention (PTA) for guiding the extractor to select the attractive sentence from the article and 2) a popularity predictor for guiding the abstractor to rewrite the attractive sentence. Moreover, since the sentence selection of the extractor is not differentiable, techniques of reinforcement learning (RL) are utilized to bridge the gap with rewards obtained from a popularity score predictor. Through quantitative and qualitative experiments, we show that the proposed PORL-HG significantly outperforms the state-of-the-art headline generation models in terms of attractiveness evaluated by both human (71.03%) and the predictor (at least 27.60%), while the faithfulness of PORL-HG is also comparable to the state-of-the-art generation model.

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