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Journal Article 7

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3D parametric model 1

3D visual knowledge 1

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Data augmentation 1

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Augmentation of natural convective heat transfer by acoustic cavitation

Jun CAI, Xiulan HUAI, Shiqiang LIANG, Xunfeng LI,

Frontiers in Energy 2010, Volume 4, Issue 3,   Pages 313-318 doi: 10.1007/s11708-009-0064-3

Abstract: The augmentation at low heat flux was better than that in the case of high heat flux.

Keywords： heat transfer enhancement     augmentation     acoustic cavitation     acoustic streaming     convective heat transfer    

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Low Earth Orbiter (LEO) Navigation Augmentation: Opportunities and Challenges

Wang Lei, Li Deren, Chen Ruizhi, Fu Wenju, Shen Xin, Jiang Hao

Strategic Study of CAE 2020, Volume 22, Issue 2,   Pages 144-152 doi: 10.15302/J-SSCAE-2020.02.018

Abstract: navigation system (Beidou system) achieves a primary global coverage, the low earth orbiter navigation augmentationchallenges faced by the LEO-NA system, including interoperability of signal frequencies after navigation augmentation

Keywords： satellite navigation augmentation     low earth orbiter constellation     Beidou system     collaborative development    

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Effect of surgical factors on the augmentation of cement-injectable cannulated pedicle screw fixation

Haolin Sun, Chun Liu, Shunlun Chen, Yanjie Bai, Huilin Yang, Chunde Li, Lei Yang

Frontiers of Medicine 2019, Volume 13, Issue 5,   Pages 590-601 doi: 10.1007/s11684-019-0710-z

Abstract: previous studies, a novel injectable and biodegradable calcium phosphate-based nanocomposite (CPN) for the augmentationfoam and open-cell foam models and decalcified sheep vertebra models were employed to evaluate the augmentationWhen directly injected to the solid foam model, CPN revealed an identical augmentation effect to thataxial pullout strength of CPN evaluated by the decalcified sheep vertebra model revealed a similar augmentationThe promising results of CPN clearly suggest its potential for replacing PMMA in CICPs augmentation application

Keywords： bone cement     pedicle screw     degenerative spinal diseases     calcium phosphate     injectable    

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Unpowered Knee Exoskeleton Reduces Quadriceps Activity during Cycling Article

Ronnapee Chaichaowarat,Jun Kinugawa,Kazuhiro Kosuge

Engineering 2018, Volume 4, Issue 4,   Pages 471-478 doi: 10.1016/j.eng.2018.07.011

Abstract:

Cycling is an eco-friendly method of transport and recreation. With the intent of reducing the energy cost of cycling without providing an additional energy source, we have proposed the use of a torsion spring for knee-extension support. We developed an exoskeleton prototype using a crossing four-bar mechanism as a knee joint with an embedded torsion spring. This study evaluates the passive knee exoskeleton using constant-power cycling tests performed by eight healthy male participants. We recorded the surface electromyography over the rectus femoris muscles of both legs, while the participants cycled at 200 and 225W on a trainer with the developed wheel-accelerating system. We then analyzed these data in time–frequency via a continuous wavelet transform. At the same cycling speed and leg cadence, the median power spectral frequency of the electromyography increases with cycling load. At the same cycling load, the median power spectral frequency decreases when cycling with the exoskeleton. Quadriceps activity can be relieved despite the exoskeleton consuming no electrical energy and not delivering net-positive mechanical work. This fundamental can be applied to the further development of wearable devices for cycling assistance.

Keywords： Augmentation     Cycling     Energy cost     Electromyography     Exoskeleton     Knee     Orthosis     Muscle activity    

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Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study Article

Yufei Liu, Yuan Zhou, Xin Liu, Fang Dong, Chang Wang, Zihong Wang

Engineering 2019, Volume 5, Issue 1,   Pages 156-163 doi: 10.1016/j.eng.2018.11.018

Abstract: classification method based on original samples into a deep-learning classification method based on data augmentation

Keywords： Artificial intelligence     Generative adversarial network     Deep neural network     Small sample size     Cancer    

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Visual recognition of cardiac pathology based on 3D parametric model reconstruction Research Article

Jinxiao XIAO, Yansong LI, Yun TIAN, Dongrong XU, Penghui LI, Shifeng ZHAO, Yunhe PAN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9,   Pages 1324-1337 doi: 10.1631/FITEE.2200102

Abstract: Visual recognition of cardiac images is important for and treatment. Due to the limited availability of annotated datasets, traditional methods usually extract features directly from two-dimensional slices of three-dimensional (3D) heart images, followed by pathological classification. This process may not ensure the overall anatomical consistency in 3D heart. A new method for classification of cardiac pathology is therefore proposed based on reconstruction. First, 3D heart models are reconstructed based on multiple 3D volumes of cardiac imaging data at the end-systole (ES) and end-diastole (ED) phases. Next, based on these reconstructed 3D hearts, s are constructed through the statistical shape model (SSM), and then the heart data are augmented via the variation in shape parameters of one with visual knowledge constraints. Finally, shape and motion features of 3D heart models across two phases are extracted to classify cardiac pathology. Comprehensive experiments on the automated cardiac diagnosis challenge (ACDC) dataset of the Statistical Atlases and Computational Modelling of the Heart (STACOM) workshop confirm the superior performance and efficiency of this proposed approach.

Keywords： 3D visual knowledge     3D parametric model     Cardiac pathology diagnosis     Data augmentation    

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Characterizing Thermal Augmentation of Convection-Enhanced Drug Delivery with the Fiberoptic Microneedle Article

R. Lyle Hood,Rudy T. Andriani,Tobias E. Ecker,John L. Robertson,Christopher G. Rylander

Engineering 2015, Volume 1, Issue 3,   Pages 344-350 doi: 10.15302/J-ENG-2015077

Abstract:

Convection-enhanced delivery (CED) is a promising technique leveraging pressure-driven flow to increase penetration of infused drugs into interstitial spaces. We have developed a fiberoptic microneedle device for inducing local sub-lethal hyperthermia to further improve CED drug distribution volumes, and this study seeks to quantitatively characterize this approach in agarose tissue phantoms. Infusions of dye were conducted in 0.6% (w/w) agarose tissue phantoms with isothermal conditions at 15 °C, 20 °C, 25 °C, and 30 °C. Infusion metrics were quantified using a custom shadowgraphy setup and image-processing algorithm. These data were used to build an empirical predictive temporal model of distribution volume as a function of phantom temperature. A second set of proof-of-concept experiments was conducted to evaluate a novel fiberoptic device capable of generating local photothermal heating during fluid infusion. The isothermal infusions showed a positive correlation between temperature and distribution volume, with the volume at 30 °C showing a 7-fold increase at 100 min over the 15 °C isothermal case. Infusions during photothermal heating (1064 nm at 500 mW) showed a similar effect with a 3.5-fold increase at 4 h over the control (0 mW). These results and analyses serve to provide insight into and characterization of heat-mediated enhancement of volumetric dispersal.

Keywords： near-infrared laser     thermochemotherapy     agarose     photothermal heating     micro-catheter     malignant glioma    

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Title Author Date Type Operation

Augmentation of natural convective heat transfer by acoustic cavitation

Jun CAI, Xiulan HUAI, Shiqiang LIANG, Xunfeng LI,

Journal Article

Low Earth Orbiter (LEO) Navigation Augmentation: Opportunities and Challenges

Wang Lei, Li Deren, Chen Ruizhi, Fu Wenju, Shen Xin, Jiang Hao

Journal Article

Effect of surgical factors on the augmentation of cement-injectable cannulated pedicle screw fixation

Haolin Sun, Chun Liu, Shunlun Chen, Yanjie Bai, Huilin Yang, Chunde Li, Lei Yang

Journal Article

Unpowered Knee Exoskeleton Reduces Quadriceps Activity during Cycling

Ronnapee Chaichaowarat,Jun Kinugawa,Kazuhiro Kosuge

Journal Article

Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study

Yufei Liu, Yuan Zhou, Xin Liu, Fang Dong, Chang Wang, Zihong Wang

Journal Article

Visual recognition of cardiac pathology based on 3D parametric model reconstruction

Jinxiao XIAO, Yansong LI, Yun TIAN, Dongrong XU, Penghui LI, Shifeng ZHAO, Yunhe PAN

Journal Article

Characterizing Thermal Augmentation of Convection-Enhanced Drug Delivery with the Fiberoptic Microneedle

R. Lyle Hood,Rudy T. Andriani,Tobias E. Ecker,John L. Robertson,Christopher G. Rylander

Journal Article