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Main Melody Configuration and Chord Algorithm for Relaxing Music Generation

Intelligent Automation & Soft Computing 2023年第1期35卷 661-673页

作者： Chih-Fang Huang Ai-Hsien Fan Jin-Huang Huang Hsing-Cheng Huang Department of Health and Marketing Kainan UniversityTaoyuanTaiwanChina Master Program at School of Healthcare Management Kainan UniversityTaoyuanTaiwanChina Ph.D.Program of Mechanical and Aeronautical Engineering Feng Chia UniversityTaichungTaiwanChina

This study applies the diatonic chord in music theory,utilization rate,and the close relationship between the main chord system,the dominant chord system,and the subordinate chord *** the perspective of music theory,the computer can automatically and quickly analyze the music,and establish a set of algorithms for configuring the chord accompaniment for the main melody,called the symmetrical circle offifths algorithm,SCFA(Symmetrical Circle of Fifths Algorithm).SCFA can immediately confirm the key,perform harmony analysis,configure chord accompaniment for the main melody,and effectively and correctly complete any given melody or *** can also quickly analyze and correctly configure the chord accompaniment for any MIDI(Musical Instrument Digital Interface)music,enriching the musicality of the *** can also allow scorers or computer music creators to quickly deconstruct the harmony configuration of the *** the measurement of bio-feedback sensor HRV(Heart Rate Variability),it can achieve a relaxing music healing effect.

关键词： Symmetrical circle of fths algorithm SCFA bio-feedback sensor HRV heart rate variability relaxing music healing effect

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Prediction Horizon Requirements for Automated Driving: Optimizing Safety, Comfort, and Efficiency

Prediction Horizon Requirements for Automated Driving: Optim...

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IEEE Symposium on Intelligent Vehicle

作者： Manuel Muñoz Sánchez Chris van der Ploeg Robin Smit Jos Elfring Emilia Silvas Rene van de Molengraft Mechanical Engineering Department Robotics group Mechanical Engineering Department Dynamics and Control Group Integrated Vehicle Safety Department TNO Helmond The Netherlands VDL CropTeq Robotics Eindhoven The Netherlands Mechanical Engineering Department Control Systems Technology group Eindhoven University of Technology Eindhoven The Netherlands

ISBN: (数字)9798350348811

ISBN: (纸本)9798350348828

Predicting the movement of other road users is beneficial for improving automated vehicle (AV) performance. However, the relationship between the horizon of these predictions and AV performance remains unclear. Despite the existence of numerous trajectory prediction algorithms, no studies have been conducted on how varying prediction horizons affect AV safety and other vehicle performance metrics, resulting in undefined horizon requirements for prediction methods. Our study addresses this gap by examining the effects of different prediction horizons on AV performance, focusing on safety, comfort, and efficiency. Through multiple experiments using a state-of-the-art, risk-based predictive trajectory planner, we simulated predictions with horizons up to 20 seconds. Based on our simulations, we propose a framework for specifying the minimum required and optimal prediction horizons depending on specific AV performance criteria and application needs. Our results indicate that a horizon of 1.6 seconds is required to prevent collisions with crossing pedestrians, horizons of 7-8 seconds yield the best efficiency, and horizons up to 15 seconds improve passenger comfort. We conclude that prediction horizon requirements are application-dependent, and recommend aiming for a prediction horizon of 11.8 seconds as a general guideline for applications involving crossing pedestrians.

关键词： Measurement Pedestrians Intelligent vehicles Roads Pipelines Predictive models Prediction algorithms

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Towards a conceptual safety planning framework for human-robot collaboration 42

Towards a conceptual safety planning framework for human-rob...

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42nd International Conference on Conceptual Modeling: ER Forum, 7th Symposium on Conceptual Modeling Education, SCME 2023, Project Exhibitions, Posters and Demos, and Doctoral Consortium, ER-Companion 2023

作者： Schirmer, Fabian Kranz, Philipp Manjunath, Meenakshi Raja, Jeshwitha Jesus Rose, Chad G. Kaupp, Tobias Daun, Marian Center Robotics Technical University of Applied Sciences Würzburg-Schweinfurt Schweinfurt Germany Department of Mechanical Engineering Auburn University AuburnAL United States

In human-robot collaboration (HRC), robots interact physically with humans in a shared environment, without the typical barriers or protective cages used in traditional robotics systems, it is therefore essential to consider safety measures as a substantial part of the assembly sequence planning (ASP). In HRC, this process is complicated and time-consuming, especially when ensuring that no safety hazards are overlooked. This paper reports on first results showing a concept on how to semi-automate the process of safety analysis for human-robot ASP. Our concept integrates transformer-based natural language processing NLP models to automatically generate suggestions about potential safety hazards, their causes and consequences for each assembly step. A human safety expert reviews the pre-populated information and incorporates supplementary safety considerations via a dashboard. Preliminary results indicate a significant reduction in manual effort for the expert in the creation of safety measures. © 2023 CEUR-WS. All rights reserved.

关键词： Assembly Sequence Planning Human-Robot Collaboration Safety Analysis

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Surface Defects Detection of Cylindrical High-Precision Industrial Parts Based on Deep Learning Algorithms: A Review

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Operations Research Forum 2024年第3期5卷 58页

作者： Wei, Li Solihin, Mahmud Iwan Saruchi, Sarah ‘Atifah Astuti, Winda Hong, Lim Wei Kit, Ang Chun School of Computer Science and Technology (School of Software) Guangxi University of Science and Technology Guangxi 545006 China Faculty of Engineering Technology and Built Environment UCSI University Kuala Lumpur 56000 Malaysia Faculty of Manufacturing and Mechatronics Engineering Technology Universiti Malaysia Pahang Al-Sultan Abdullah Pahang Pekan 26600 Malaysia Computer Engineering Department Automotive and Robotics Engineering Program BINUS ASO School of Engineering Bina Nusantara University Jakarta Indonesia

High-precision cylindrical parts are critical components across various industries including aerospace, automotive, and manufacturing. Since these parts play a pivotal role in the performance and safety of the systems they are integrated into, they are often subject to stringent quality control measures. Defects on the interior and exterior wall surfaces of these cylindrical parts can severely undermine their function, leading to degraded performance, increased wear, and even catastrophic failures in extreme cases. This article aims to comprehensively summarize the task definition, challenges, mainstream methods, public datasets, evaluation metrics, and other aspects of surface defect detection for high-precision cylindrical parts, in order to help researchers quickly grasp this field. Specifically, the background and characteristics of industrial defect detection are first introduced. Owing to the unique geometric features of cylindrical part surfaces, algorithms and equipment for image data acquisition used in surface defect detection are elaborated in detail. This article presents an extensive overview of state-of-the-art surface defect detection techniques designed for high-precision cylindrical components, all rooted in deep learning. The methods are systematically classified into three main categories: fully supervised, unsupervised, and alternative approaches, based on their data labeling strategies. Additionally, the paper conducts a comprehensive analysis within each category, shedding light on their unique strengths, limitations, and practical use cases. Concluding the discussion, the paper provides insights into future development trends and potential research directions in this field that will lead to manufacturing innovation. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Anomaly detection Computer vision Deep learning Defect detection High-precision cylindrical parts Image processing Optical illumination

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Generation of sEMG for Post-stroke Spasticity with Spike-based Neuromorphic Models

Generation of sEMG for Post-stroke Spasticity with Spike-bas...

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2024 IEEE International Conference on Real-Time Computing and robotics, RCAR 2024

作者： Yan, Jin Chen, Zhi Jin, Sheng Guo, Xinliang Oetomo, Denny Tan, Ying Luo, Qi Niu, Chuanxin M. Shanghai Jiao Tong University School of Medicine Ruijin Hospital Department of Rehabilitation Medicine Shanghai200025 China Shanghai Jiao Tong University School of Medicine Shanghai200025 China Changsha University of Science and Technology School of Automotive and Mechanical Engineering Changsha410000 China The University of Melbourne Fourier Intelligence - Joint Laboratory on Assistive and Rehabilitation Robotics Faculty of Engineering and IT Mechanical Engineering Department ParkvilleVIC Australia

ISBN: (纸本)9798350372601

Spasticity is a disabling condition that frequently occurs after neurological injuries such as stroke. Effective management of spasticity relies on the objective categorization for spasticity. However, there lacks a computational model that captures the physiological underpinning of spasticity, which is essential for the justification of therapeutic plans. Here we explored how to generate the unusual, but realistic, muscle activity seen in post-stroke spasticity using neuromorphic models. The model incorporates spiking neurons, differentiation of motor units, and their action potentials. The baseline condition was determined by comparing 3 distributions of contraction time and potential magnitude. We present the methodology of inferring alpha motor commands from patient surface electromyography, which was used for generation of stretch responses in spasticity. Results suggest that these models can replicate the timing and amplitude features typical in spasticity. It was also found that our model could differentiate the origins of spasticity including an additive or a multiplicative excessive input. This approach is an initial step toward a realistic, generative model that could be integrated in large-scale training of machine learning applications. © 2024 IEEE.

关键词： Electromyography

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Transferrin-Mediated Nanophotosensitizer to Enhance Phototherapy with Photoacoustic Imaging Under Hypoxia

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CCS Chemistry 2025年第4期7卷 1127-1141页

作者： Mengyao Yang Yunyoung Nah Donghyeon Oh Xingshu Li Heejeong Kim Sinyoung Park Junha Lim Aibing Chen Chulhong Kim Won Jong Kim Juyoung Yoon College of Chemical and Pharmaceutical Engineering Hebei University of Science and TechnologyShijiazhuang 050018 Department of Chemistry and Nanoscience Ewha Womans UniversitySeoul 03760 Department of Chemistry POSTECH-Catholic Biomedical Engineering InstitutePOSTECHPohang 37673 Department of Electrical Engineering Convergence IT EngineeringMechanical Engineeringand Medical Science and EngineeringMedical Device Innovation CenterPOSTECHPohang 37673 Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy College of ChemistryFuzhou UniversityFuzhou 350108 School of Interdisciplinary Bioscience and Bioengineering POSTECHPohang 37673 Graduate Program in Innovative Biomaterials Convergence Ewha Womans UniversitySeoul 03760

Various obstacles[poor tissue penetration,hypoxic tumor microenvironment,and reactive oxygen species(ROS)production quenching due to aggregation]obstruct imaging-guided high-efficiency phototherapy targeting ***,nanophthalocyanine(ZnPcN4-TF)is elaborately designed based on a synthetic phthalocyanine derivative(ZnPcN4)and nonimmunogenic transferrin(TF)through multiple noncovalent interactions for photoacoustic(PA)imaging-guided *** conjugating electron-rich amino groups effectively suppressed fluorescence and ROS generation due to the strong photoinduced electron transfer effect,ZnPcN4 became an ideal photothermal and PA imaging ***4-TF not only effectively targeted tumor sites and accumulated there,but also,surprisingly,facilitated the enhancement of ROS production via a type I process in an aggregate compared to ZnPcN4 itself,potentially due to accelerated electron ***,ZnPcN4-TF had a substantially more powerful photothermal effect than ZnPcN4 ***,this design effectively overcomes the obstacles to photodynamic therapy(aggregation-related ROS generation quenching in a hypoxic environment).Furthermore,PA imaging solves the tissue penetration challenge in optical *** study provides a broader base for designing novel photosensitizers to improve phototherapy under hypoxia.

关键词： photoacoustic imaging type I reactive oxygen species photothermal effect tumor accumulation self-assembly

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High-density Baropodometry Platform Based on Vision Based Tactile Sensing 46

High-density Baropodometry Platform Based on Vision Based Ta...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Dong, Yueshi Ren, Jieji Zhang, Ningbin Zhao, Weijing Zhou, Jian Gu, Guoying Shanghai Jiao Tong University School of Mechanical Engineering The State Key Laboratory of Mechanical System and Vibration Shanghai200240 China Department of Endocrinology and Metabolism Sixth People's Hospital Affiliated Shanghai Jiao Tong University School of Medicine Shanghai200240 China The Robotics Institute School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9798350371499

Plantar pressure distribution measurement is significant for healthy monitoring and disease diagnosis. However, existing equipment lack of high-density resolution and may lead under-diagnosed of small abnormal regions. To address problem, we propose a special high resolution and low cost Baropodometry based on vision based tactile sensing (VBTS). Specially, we design a measurement platform with larger-scale sensing range (280 mm x 150 mm) and high-density resolution (440 ppi). To achieve the homogeneous illumination for the measure area, we also propose normally distributed light sources around the platform, and delicately adjust the incident angle to optimize the reconstruction performance. Besides, we design a example-based method to calibrate the platform and build a look-up table to reconstruct the plantar geometry from observed image. Experiments show the high lateral resolution that can discriminate the details ( © 2024 IEEE.

关键词： Barometers

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Theoretical and Computational Investigation on Aerospike Nozzle Equipped with Exhaust Plumes for Supersonic Flow Regimes 1

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International Conference on mechanical engineering, INCOME 2023

作者： Bindal, Rohi Kattyayan, Shivansh Sonawane, Chandrakant R. Dhanwani, Payal Thombre, Simran Joshi, Vedant Mishra, Ankit Kumar Department of Computer Science Engineering Symbiosis Institute of Technology Maharashtra Pune India Department of Mechanical Engineering Symbiosis Institute of Technology Maharashtra Pune India Department of Aeronautical Engineering Bhagwan Arihant Institute of Technology Gujarat Surat India Department of Aerospace Engineering Sastra University Tamil Nadu Thanjavur India Department of Robotics and Automation Symbiosis Institute of Technology Maharashtra Pune India Department of Research and Development ASTROEX RESEARCH ASSOCIATION Uttar Pradesh Deoria India

ISBN: (数字)9789819738748

ISBN: (纸本)9789819738731

Aerospike nozzles are widely used in aerospace applications due to their high performance, low cost, and low maintenance. They have been widely used to improve the performance of aerospike engines. This paper presents a computational and numerical analysis of the flow behavior of an aerospike nozzles equipped with exhaust plumes under different operating conditions, contributing to the better study and understanding of fluid dynamics for the aerospike nozzles in the field of aerospace engineering. The study uses a three-dimensional, axisymmetric model to simulate the flow within the nozzle, and the results are later used in order to generate better contours and performance. An iterative test has been carried out which in turn used for optimization loop which involves changes in contour shape, spike height, or spike angle to achieve better flow expansion and reduce pressure losses. The paper also discusses the potential future research directions, such as investigating unsteady flow phenomena or exploring advanced turbulence models for more accurate predictions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Aerospace applications

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Advances in Finite Element Analysis for Cancer Therapy Focusing on Magnetic Nanoparticle Hyperthermia

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Multiscale Science and engineering 2024年第2期6卷 113-123页

作者： Raouf, Izaz Gas, Piotr Kim, Heung Soo Department of Mechanical Robotics and Energy Engineering Dongguk University-Seoul Seoul Republic of Korea Department of Electrical and Power Engineering Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Krakow Krakow Poland

This mini review provides a thorough examination of recent advances in finite element analysis (FEA) for cancer therapy, with a focus on magnetic nanoparticle (MNP) hyperthermia. The paper begins by discussing the fundamental principles of FEA and their applications in biomedical sciences. It then describes the application of FEA to the in vitro and in vivo modeling of MNP hyperthermia, including the development and validation of computational models that simulate magnetic nanoparticles behavior under alternating magnetic field (AMF), heat generation, its transfer, and cellular/tissue responses. The review further explores the emerging trends and future directions in the application of FEA for MNP hyperthermia, including the integration of experimental data, incorporation of patient-specific parameters, and optimization of treatment protocols. The paper also discusses the key challenges and limitations of current FEA models, shedding light on potential areas for future research and development. By synthesizing the most recent advances in this field, the review aims to provide a valuable resource for researchers, clinicians, and engineers working on the optimization and clinical translation of MNP hyperthermia for effective cancer therapy.

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Numerical Study of the Generator Lubricant Cooler Air-Side Flow to Increase the Reliability of GTG#1.3 PLTGU Muara Karang 1

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5th International Conference on mechanical engineering, ICOME 2021

作者： Kurniawan, Aris Sutardi Department of Mechanical Engineering FTIRS-ITS Collaboration Program With PT Perusahaan Listrik Negara Jakarta Indonesia Department of Mechanical Engineering FTIRS-ITS Surabaya Indonesia

ISBN: (数字)9789811915819

ISBN: (纸本)9789811915802

Generator lubricant cooling system in gas turbine 1.3 by flowing lubricant in the tube and blowing air from the outside of the tube. The lubricant cooling device is called an air-cooled heat exchanger (ACHE) which has been operating for 9 years. ACHE has experienced a decrease in reliability because it causes the unit to trip 5 times, trips to ACHE occur when the ACHE exit lubricant temperature is more than 320 K. Based on analysis using a fishbone diagram, the cause comes from the failure of fan operation. The purposes of the study are (i) to investigate the cooling capacity of Air-Cooled Heat Exchanger for GTG#1.3 generator lubricant existing conditions, (ii) to determine the effect of the modification of the number of fans operating on cooling capacity, outlet pressure and temperature outlet lubricants with parallel and series arrangement of Air-Cooled Heat Exchanger Generator Lubricant GTG#1.3, and (iii) to investigate the optimal operation pattern of the GTG#1.3 Generator Lubricant Air-Cooled Heat Exchanger. This research was conducted by modeling and simulating ACHE using Computational Fluid Dynamic (CFD) software. The simulation was validated using actual operational data. The results showed that the operation of the ACHE series with 4 fans had the highest cooling capacity of 247.57 kW so that the ACHE outlet lubricant temperature was 312.02 K. Therefore, to obtain reliability and optimal operation, the ACHE series operating model with 4 fans were selected. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Computational fluid dynamics

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