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Biologically Inspired Design of Context-Aware Smart Products Article

Ang Liu, Ivan Teo, Diandi Chen, Stephen Lu, Thorsten Wuest, Zhinan Zhang, Fei Tao

Engineering 2019, Volume 5, Issue 4,   Pages 637-645 doi: 10.1016/j.eng.2019.06.005

Abstract: Biologically inspired design (BID) is one of the most commonly employed design strategies.This paper presents a structured design framework to support the BID of context-aware smart products.The meaning of context-awareness is defined from the perspective of product design.different conceptual design activities, such as problem formulation, structure reformulation, behaviorSome existing design methods and emerging design tools are incorporated into the framework.

Keywords： Design method     Biologically inspired design     Context-awareness     Intelligent design    

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Creative design inspired by biological knowledge: Technologies and methods

Runhua TAN, Wei LIU, Guozhong CAO, Yuan SHI

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 1-14 doi: 10.1007/s11465-018-0511-0

Abstract: knowledge is becoming an important source of inspiration for developing creative solutions to engineering designTo identify the technologies and methods that can facilitate the development of biologically inspiredbiological-knowledge-based theories and methods and examines the application of biological-knowledge-inspiredAfterward, this research thoroughly examines the four dimensions of key technologies that underlie the biologicallyinspired design (BID) process.

Keywords： creative design     biologically inspired methods     key technologies    

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Biologically inspired model of path integration based on head direction cells and grid cells

Yang ZHOU,De-wei WU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 435-448 doi: 10.1631/FITEE.1500364

Abstract: To provide a bionic approach for the vehicle to achieve path integration, we present a biologically inspired

Keywords： Head direction cells (HDCs)     Grid cells (GCs)     Path integration     Bionic navigation    

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Influence of pore structure on biologically activated carbon performance and biofilm microbial characteristics

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1419-1

Abstract:

• Pore structure affects biologically activated carbon performance.

Keywords： Granular activated carbon     Biologically activated carbon filter     Bacterial community structure     Pore    

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Evaluate HAA removal in biologically active carbon filters using the ICR database

Hsin-hsin TUNG, Yuefeng F. XIE

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 4,   Pages 489-496 doi: 10.1007/s11783-011-0312-8

Abstract: The effects of biologically active carbon (BAC) filtration on haloacetic acid (HAA) levels in plant effluents

Keywords： biologically active carbon (BAC)     disinfection byproduct (DBP)     granular activated carbon (GAC)     haloacetic    

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Effect of loading rate on shear strength parameters of mechanically and biologically treated waste

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 12, doi: 10.1007/s11783-022-1595-7

Abstract:

● Mechanical behavior of MBT waste affected by loading rate was investigated.

Keywords： Mechanically and biologically treated waste     Landfill     Triaxial test     Loading rate     Axial strain     Shear    

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Novel quantum-inspired firefly algorithm for optimal power quality monitor placement

Ling Ai WONG,Hussain SHAREEF,Azah MOHAMED,Ahmad Asrul IBRAHIM

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 254-260 doi: 10.1007/s11708-014-0302-1

Abstract: The application of a quantum-inspired firefly algorithm was introduced to obtain optimal power quality

Keywords： quantum-inspired binary firefly algorithm     topological monitor reach area     power quality    

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Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 665-681 doi: 10.1007/s11709-021-0713-0

Abstract: The scouring phenomenon is one of the major problems experienced in hydraulic engineering. In this study, an adaptive neuro-fuzzy inference system is hybridized with several evolutionary approaches, including the ant colony optimization, genetic algorithm, teaching-learning-based optimization, biogeographical-based optimization, and invasive weed optimization for estimating the long contraction scour depth. The proposed hybrid models are built using non-dimensional information collected from previous studies. The proposed hybrid intelligent models are evaluated using several statistical performance metrics and graphical presentations. Besides, the uncertainty of models, variables, and data are inspected. Based on the achieved modeling results, adaptive neuro-fuzzy inference system–biogeographic based optimization (ANFIS-BBO) provides superior prediction accuracy compared to others, with a maximum correlation coefficient (Rtest = 0.923) and minimum root mean square error value (RMSEtest = 0.0193). Thus, the proposed ANFIS-BBO is a capable cost-effective method for predicting long contraction scouring, thus, contributing to the base knowledge of hydraulic structure sustainability.

Keywords： long contraction scour     prediction     uncertainty     ANFIS model     meta-heuristic algorithm    

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Surgical robotics: A look-back of latest advancement and bio-inspired ways to tackle existing challenges

Yang LIU, Jing LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 376-384 doi: 10.1007/s11465-012-0352-1

Abstract: an exhaustive evaluation, we would emphasize more on the new insight by digesting the emerging bio-inspiredAs an alternative, bio-inspired methods or materials may shed light on new innovations.

Keywords： minimally invasive surgery     surgical robotics     haptic feedback     miniaturization     bio-inspiration     bionics    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: this paper explores a decision-tree-structured neural network, that is, the deep convolutional tree-inspired

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network     decision tree    

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concrete compressive strength prediction using adaptive neuro-fuzzy inference system optimized by nature-inspired

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 61-79 doi: 10.1007/s11709-020-0684-6

Abstract: Concrete compressive strength prediction is an essential process for material design and sustainability

Keywords： foamed concrete     adaptive neuro fuzzy inference system     nature-inspired algorithms     prediction of compressive    

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Thermo-fluidic devices and materials inspired from mass and energy transport phenomena in biological

Jian XIAO , Jing LIU ,

Frontiers in Energy 2009, Volume 3, Issue 1,   Pages 47-59 doi: 10.1007/s11708-008-0068-4

Abstract: dedicated to presenting a relatively complete review of the typical devices and materials in clinical use inspired

Keywords： bionics     mass transport     energy transport     artificial devices and materials     biology system     nature phenomena     medical device.    

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Biomineralization-inspired copper-cystine nanoleaves capable of laccase-like catalysis for the colorimetric

Miao Guan, Mengfan Wang, Wei Qi, Rongxin Su, Zhimin He

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 2,   Pages 310-318 doi: 10.1007/s11705-020-1940-y

Abstract: Inspired by the pathological biomineralization behaviour of L-cystine, in this study, we constructed

Keywords： biomineralization     laccase     L-cystine     colorimetric detection     enzyme mimic    

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Engineering platelet-mimicking drug delivery vehicles

Quanyin Hu, Hunter N. Bomba, Zhen Gu

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 4,   Pages 624-632 doi: 10.1007/s11705-017-1614-6

Abstract: Platelets dynamically participate in various physiological processes, including wound repair, bacterial clearance, immune response, and tumor metastasis. Recreating the specific biological features of platelets by mimicking the structure of the platelet or translocating the platelet membrane to synthetic particles holds great promise in disease treatment. This review highlights recent advancements made in the platelet-mimicking strategies. The future opportunities and translational challenges are also discussed.

Keywords： drug delivery     platelets     nanomedicine     bio-inspired     biomimetic    

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Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information

Ahmad MOZAFFARI,Mahyar VAJEDI,Nasser L. AZAD

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 154-167 doi: 10.1007/s11465-015-0336-z

Abstract: The intelligent real-time optimizer is also inspired on the basis of interactions in biological immuneThe simulation results demonstrate that the integration of immune inspired clustering tool, AIA and ANNthe current investigation prove that by taking advantage of intelligent approaches, it is possible to design

Keywords： trip information preview     intelligent transportation     state-of-charge trajectory builder     immune systems     artificial neural network    

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Title Author Date Type Operation

Biologically Inspired Design of Context-Aware Smart Products

Ang Liu, Ivan Teo, Diandi Chen, Stephen Lu, Thorsten Wuest, Zhinan Zhang, Fei Tao

Journal Article

Creative design inspired by biological knowledge: Technologies and methods

Runhua TAN, Wei LIU, Guozhong CAO, Yuan SHI

Journal Article

Biologically inspired model of path integration based on head direction cells and grid cells

Yang ZHOU,De-wei WU

Journal Article

Influence of pore structure on biologically activated carbon performance and biofilm microbial characteristics

Journal Article

Evaluate HAA removal in biologically active carbon filters using the ICR database

Hsin-hsin TUNG, Yuefeng F. XIE

Journal Article

Effect of loading rate on shear strength parameters of mechanically and biologically treated waste

Journal Article

Novel quantum-inspired firefly algorithm for optimal power quality monitor placement

Ling Ai WONG,Hussain SHAREEF,Azah MOHAMED,Ahmad Asrul IBRAHIM

Journal Article

Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Journal Article

Surgical robotics: A look-back of latest advancement and bio-inspired ways to tackle existing challenges

Yang LIU, Jing LIU

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

concrete compressive strength prediction using adaptive neuro-fuzzy inference system optimized by nature-inspired

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Journal Article

Thermo-fluidic devices and materials inspired from mass and energy transport phenomena in biological

Jian XIAO , Jing LIU ,

Journal Article

Biomineralization-inspired copper-cystine nanoleaves capable of laccase-like catalysis for the colorimetric

Miao Guan, Mengfan Wang, Wei Qi, Rongxin Su, Zhimin He

Journal Article

Engineering platelet-mimicking drug delivery vehicles

Quanyin Hu, Hunter N. Bomba, Zhen Gu

Journal Article

Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information

Ahmad MOZAFFARI,Mahyar VAJEDI,Nasser L. AZAD

Journal Article