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A Comparative Study on the Morphology and In Vitro Behaviour of Biopolymers/Ceramic-based Scaffolds Obtained by Drying and Lyophilization Techniques 10

A Comparative Study on the Morphology and In Vitro Behaviour...

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10th E-Health and Bioengineering Conference, EHB 2022

作者： Cojocaru, Florina Daniela Balan, Vera Istrate, Bogdan Butnaru, Maria Verestiuc, Liliana Department of Biomedical Sciences Faculty of Medical Bioengineering Grigore T. Popa University of Medicine Pharmacy of Iasi Iasi Romania Mechanical Engineering Mechatronics and Robotics Department Mechanical Engineering Faculty Gheorghe Asachi Technical University of Iasi Iasi Romania

ISBN: (纸本)9781665485579

Tissue engineering, with its crucial components (cells, scaffold and signaling molecules), is still a challenging field, and choosing the suitable manufacturing technique for bone scaffolds is a crucial issue, as such materials should possess particular characteristics: biocompatibility, biodegradability, specific mechanical features and distinguishing porous structure. Lyophilization and thermal drying are frequently used by many researchers, being affordable, efficient in terms of time and easy to perform. In this study, scaffolds based on biopolymers, calcium phosphate and magnetite nanoparticles were prepared using separately, these two processing techniques, and evaluated, in terms of physico-chemical features and in vitro behaviour. © 2022 IEEE.

关键词： Biocompatibility

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Development of a Semi-Automatic Probe Card Adjustment Equipment 18

Development of a Semi-Automatic Probe Card Adjustment Equipm...

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18th International Microsystems, Packaging, Assembly and Circuits Technology Conference, IMPACT 2023

作者： Gao, Fu Chen Chiang, Kuo-Wei Tsui, Zhe-Luen Yuan, Cadmus Wang, Chic Chang Feng Chia University Department of Mechanical and Computer-Aided Engineering Taichung Taiwan Feng Chia University Ph.D. Program of Mechanical and Aeronautical Engineering Taichung Taiwan No.100 Wenhua Rd. Xitun Dist. 407 Taichung407102 Taiwan

ISBN: (纸本)9798350384123

IC testing is essential in the semiconductor value chain, and it strengthens process control and effectively reduces packaging cost. The probe card (PC) is one of the key tools for IC testing. After a certain period of usage, the PC requires regular maintenance/adjustment. This paper investigates the design / development methods for the automatic probe card adjustment (PCA) machine, including the system architecture design, high precision automation algorithm, and the system integration to guarantee the final precision accuracy of ±2.5um with the direct touch of the operators' hand. © 2023 IEEE.

关键词： Probes

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Inverse Hall-Petch effect in nanocrystalline ice predicted by machine-learned coarse-grained molecular simulations

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Journal of Micromechanics and Molecular Physics 2023年第1期8卷 1-10页

作者： Chen, Guang Tao, Lei Kröger, Martin Li, Ying Department of Mechanical Engineering University of Connecticut Storrs 06269 CT United States Department of Materials Polymer Physics Eth Zürich Zürich CH-8093 Switzerland Department of Mechanical Engineering Institute of Materials Science University of Connecticut Storrs 06269 CT United States Polymer Program Institute of Materials Science University of Connecticut Storrs 06269 CT United States

We study the grain-size effect on mechanical behaviors of polycrystalline ice at nanoscale through large-scale molecular dynamics simulations, enabled by an accurate and efficient machine-learned coarse-grained water model [H. Chan, M. J. Cherukara, B. Narayanan, T. D. Loeffler, C. Benmore, S. K. Gray and S. K. Sankaranarayanan. Machine learning coarse grained models for water. Nature Communications 10(1), p. 379, 2019]. Polycrystalline ice systems with different grain sizes in the range of 5∼30 nm are systematically investigated through uniaxial tensile tests. Simulation results reveal that Young's modulus and yield strength increase as the grain size increases, leading to an inverse Hall-Petch effect in nanocrystalline ice. Such an observation is significantly different from the conventional Hall-Petch effect in polycrystalline ice observed by experiments at millimeter scale. The deformation behavior suggests that grain boundaries (GBs), rather than grain interiors, play the active role in accommodating external loading in nanocrystalline ice. Further void analysis of nanocrystalline ice during deformation reveals that nanocrack initiates and propagates along GBs and eventually leads to failure of systems with larger grain sizes (≥20nm), yielding a sudden drop in the stress-strain curve. While for systems with smaller grain sizes (≤15nm), only extensive plastic deformation is presented without significant void growth. Our simulation results demonstrate that the GB sliding is the governing mechanism for the inverse Hall-Petch effect observed in nanocrystalline ice. © 2023 World Scientific Publishing Company.

关键词： grain boundary inverse Hall-Petch effect molecular dynamics simulation Polycrystalline ice water model

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Estimation of Wrist Chattering Angle Based on Disturbance Observer 16

Estimation of Wrist Chattering Angle Based on Disturbance Ob...

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16th International Congress on Image and Signal Processing, BioMedical engineering and Informatics, CISP-BMEI 2023

作者： Zhang, Xinyu Sun, Zhenyu Shu, Bairui Yokoi, Hiroshi Yong, Xu Li, Guanglin Jing, Xiaobei The Siat Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen518055 China The University of Electro-Communications Joint Doctoral Program for Sustainability Research Tokyo182-8585 Japan The University of Electro-Communications Department of Mechanical Engineering and Intelligent Systems Tokyo182-8585 Japan

ISBN: (纸本)9798350330755

Due to the physiological constraints and daily habits of hand movements, the wrist chattering effect (WCE) will inadvertently cause disturbance to the accuracy of fingers' pattern recognition, when healthy subjects or amputees undergoing mirror training control their fingers according to instructions. This paper proposes a method for estimating WCE angles using a disturbance observer. Based on the Denavit-Hartenberg (D-H) convention and inverse kinematics, the intervals of the WCE during finger flexion and extension are determined. The research objective is to eliminate disturbance terms containing redundant information referring to sliding mode anti-jittering methods, making subsequent machine learning models less susceptible to disturbances. © 2023 IEEE.

关键词： Inverse kinematics

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Privacy in Cloud Computing through Immersion-based Coding

arXiv

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arXiv 2024年

作者： Hayati, Haleh van de Wouw, Nathan Murguia, Carlos The Department of Mechanical Engineering Dynamics and Control Group Eindhoven University of Technology Netherlands The Department of Mechanical Engineering Dynamics and Control Group Eindhoven University of Technology Netherlands The School of Electrical Engineering and Robotics Queensland University of Technology Brisbane Australia

Cloud computing enables users to process and store data remotely on high-performance computers and servers by sharing data over the Internet. However, transferring data to clouds causes unavoidable privacy concerns. Here, we present a synthesis framework for designing coding mechanisms that allow sharing and processing data in a privacy-preserving manner without sacrificing data utility and algorithmic performance. We consider the setup in which the user aims to run an algorithm in the cloud using private data. The cloud then returns some data utility back to the user (utility refers to the service that the algorithm provides, e.g., classification, prediction, AI models, etc.). To avoid privacy concerns, the proposed scheme provides tools to co-design: 1) coding mechanisms to distort the original data and guarantee a prescribed differential privacy level;2) an equivalent-but-different algorithm (referred here to as the target algorithm) that runs on distorted data and produces distorted utility;and 3) a decoding function that extracts the true utility from the distorted one with a negligible error. Then, instead of sharing the original data and algorithm with the cloud, only the distorted data and target algorithm are disclosed, thereby avoiding privacy concerns. The proposed scheme is built on the synergy of differential privacy and system immersion tools from control theory. The key underlying idea is to design a higher-dimensional target algorithm that embeds all trajectories of the original algorithm and works on randomly encoded data to produce randomly encoded utility. We show that the proposed scheme can be designed to offer any level of differential privacy without degrading the algorithm’s utility. We present two use cases to illustrate the performance of the developed tools: privacy in optimization/learning algorithms and a nonlinear networked control system. © 2024, CC BY.

关键词： Data assimilation

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A Transfer Entropy Based Approach for Fault Isolation in Industrial Robots

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ASME Letters in Dynamic Systems and Control 2022年第1期2卷 011009页

作者： Vallachira, Sathish Norrlof, Mikael Orkisz, Michal Butail, Sachit Robotics Service Intelligence Unit ABB Ability Innovation Center Karnataka Bangalore560048 India Department of Computer Science and Engineering Indraprastha Institute of Information Technology Delhi New Delhi110020 India ABB Robotics Division Vasteras721 68 Sweden ABB Corporate Technology Center Krakow31-038 Poland Department of Mechanical Engineering Northern Illinois University DeKalbIL60115 United States

In this paper, we cast the problem of fault isolation in industrial robots as that of causal analysis within coupled dynamical processes and evaluate the related efficacy of the information-theoretic approach of transfer entropy. To create a realistic and exhaustive dataset, we simulate wear-induced failure by increasing friction coefficient on select axes within an in-house robotic simulation tool that incorporates an elastic gearbox model. The source axis of failure is identified as one which has the highest net transfer entropy across all pairs of axes. In an exhaustive simulation study, we vary the friction successively in each axis across three common industrial tasks: pick and place, spot welding, and arc welding. Our results show that transfer entropy-based approach is able to detect the axis of failure more than 80% of the time when the friction coefficient is 5% above the nominal value and always when friction coefficient is 10% above the nominal value. The transfer entropy approach is more than twice as accurate as cross-correlation, a classical time series analysis used to identify directional dependence among processes. Copyright © 2021 by ASME.

关键词： Industrial robots

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Project Managers' Perspectives on the Complexity of Construction Megaproject in Indonesia: A Multicase Study

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IEEE engineering Management Review 2021年第2期49卷 153-171页

作者： Damayanti, Retno Wulan Hartono, Budi Wijaya, Andi Rahadiyan Industrial Engineering Program Mechanical and Industrial Engineering Department Universitas Gadjah Mada Yogyakarta55281 Indonesia Engineering Faculty Universitas Sebelas Maret Surakarta57126 Indonesia

Complexity has become an inseparable characteristic of construction megaprojects. Moreover, it has been identified as the cause of failure of megaprojects by practitioners. Researchers continue to explore complexity in megaprojects and are attempting to address it. This article aims to define complexity, examine its aspects, and look at the management approach in Indonesia's construction megaprojects from the project manager's perspective. The article is conducted based on the available literature and case studies in three Indonesian infrastructure megaprojects: the Trans-Island Highway, Indonesian Light Rail Transit, and Indonesian International Airport. This article notes that as practitioners, project managers are still focused on megaproject complexity from a negative perspective, perceiving it as an obstacle despite the fact that complexities can present positive opportunities. Complexity can be categorized into three aspects, namely, structural, social, and emergent. In this context, this report examines complexity management by studying various unique cases of Indonesian megaprojects. This article provides insight and knowledge to researchers with regard to aspects of management and megaproject complexity, especially in developing countries. For practitioners, this article provides management approaches that can be considered in the management of megaprojects. © 1973-2011 IEEE.

关键词： Developing countries

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Intelligent Adjustment of Temperature Control Parameters Based on Deep Reinforcement Learning for Stretch Blow Molding Machine 25

Intelligent Adjustment of Temperature Control Parameters Bas...

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25th International Conference on Mechatronics Technology, ICMT 2022

作者： Hsieh, Ping-Cheng Su, Guan-Lin Lin, Yi-Te Lin, Wei-Bo National Changhua University of Education Department of Mechatronics Engineering Changhua Taiwan Feng Chia University Department of Mechanical and Computer-Aided Engineering Taichung Taiwan Feng Chia University Ph.D. Program of Mechanical and Aeronautical Engineering Taichung Taiwan

ISBN: (数字)9781665461955

ISBN: (纸本)9781665461955

Stretch blow molding is the main technology used in the production of PET bottles. The stretch blow molding machine is usually composed of preform infeed system, transfer system, heating system, molding system, bottle discharge system, etc. Among them, the temperature control of the heating system is one of the key factors affecting the quality of PET bottle, especially in the face of the environmental temperature changes greatly between morning and evening in some seasons. The on-site operators of the stretch blow molding machine often need to adjust the infrared heating lamps in the heating system several times. The adjustment process is highly dependent on experience of the personnel. It has become a production challenge for the bottle manufacturers. Therefore, this paper takes the heating system of the stretch blow molding machine as the object and uses the deep reinforcement learning method to develop an intelligent adjustment technique of temperature control parameters. The proposed method can improve the problems such as the interference of environmental temperature changes and the aging variation of infrared heating lamps. The experimental results show that the proposed method can adjust the temperature control parameters automatically in the heating process to eliminate the effect of the environmental temperature change and to control the surface temperature of the preforms stably within ±3 °C of the target temperature (the requirement is within±5 °C). © 2022 IEEE.

关键词： Deep learning

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Effectiveness of Haptics Gloves for Learning Motor Skills in Virtual Reality Scaffolding Simulator 23

Effectiveness of Haptics Gloves for Learning Motor Skills in...

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6th International Conference on Advances in robotics, AIR 2023

作者： Ramakrishnan, K. Deepu, D.S. James, Jose Bhavani, Rao Department of Mechanical Engineering Amrita Vishwa Vidyapeetham Amritapuri India Ammachi Labs Amrita Vishwa Vidyapeetham Amritapuri India Brown Robotics Center for Information Technology Brown University RI United States

ISBN: (纸本)9781450399807

The present study aimed to compare the effectiveness of hand controllers and haptic gloves as interaction devices in virtual reality scaffolding simulator training. A task-specific virtual reality exercise was designed to assess participants' performance and a between-subject design was employed, with participants randomly assigned to either a hand controller or haptic glove group. 14 participants took part in the study, 7 in each group. Both groups participated in training and evaluation sessions using the simulator. Feedback on usability was collected via a questionnaire measuring aspects such as ease of use, realism, comfort, and virtual hand manipulation. The results of the study indicated the equal significant in usability aspects between the hand controller and haptic glove groups. © 2023 ACM.

关键词： Virtual reality

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Fully rubbery synaptic transistors made out of all-organic materials for elastic neurological electronic skin

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Nano Research 2022年第2期15卷 758-764页

作者： Hyunseok Shim Seonmin Jang Jae Gyu Jang Zhoulyu Rao Jong-ln Hong Kyoseung Sim Cunjiang Yu Materials Science and Engineering Program University of HoustonHoustonTX 77204 USA Department of Chemistry Seoul National UniversitySeoul 08826Republic of Korea Department of Chemistry Ulsan National Institute of Science and Technology(UNIST)Ulsan 44919Republic of Korea Department of Mechanical Engineering University of HoustonHoustonTX 77204 USA Department of Biomedical Engineering University of HoustonHoustonTX 77204USA Department of Electrical and Computer Engineering University of HoustonHoustonTX 77204 USA Texas Center for Superconductivity University of HoustonHoustonTX 77204USA

Neurologic function implemented soft organic electronic skin holds promise for wide range of applications,such as skin prosthetics,neurorobot,bioelectronics,human-robotic interaction(HRI),***,we report the development of a fully rubbery synaptic transistor which consists of all-organic materials,which shows unique synaptic characteristics existing in biological *** synaptic characteristics retained even under mechanical stretch by 30%.We further developed a neurological electronic skin in a fully rubbery format based on two mechanoreceptors(for synaptic potentiation or depression)of pressure-sensitive rubber and an all-organic synaptic *** converting tactile signals into Morse Code,potentiation and depression of excitatory postsynaptic current(EPSC)signals allow the neurological electronic skin on a human forearm to communicate with a robotic *** collective studies on the materials,devices,and their characteristics revealed the fundamental aspects and applicability of the all-organic synaptic transistor and the neurological electronic skin.

关键词： synaptic transistor stretchable electronic skin all-organic

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