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45th International Conference on Computers and Industrial engineering, CIE 2015

作者： Rudek, M. Gumiel, Y.B. Canciglieri, O. Bichinho, G.L. Da Silveira, M. Production and System Engineering Graduate Program - PPGEPS Brazil Graduate Program in Health Technology - PPGTS Pontifical Catholic University of Parana Brazil Luxembourg Institute of Science and Technology LIST Luxembourg

This paper presents a method based on image analysis to build models of the skull prosthesis as a premanufacturing process. The method is based on Cubic Bezier Curves as descriptors of the skull bone curvature. The method performs a symbolic representation of shape in order to define the geometric parameters to fit an arc on each Computed Tomography slice. The Bezier descriptors can be used as a template for the retrieval of similar images from medical databases whose parameters match the sampled image. The similarity is measured according to the best fitness values through ABC (Artificial Bee Colony) optimization algorithm. The slices found by similarity are retrieved from different skull images in order to build the 3D model. The 3D printing parameters can be based on images extracted from different medical images to mold a customized piece. A case study shows that the proposed method is a promising technique for 3D modelling.

关键词： Prosthetics

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Real time, dynamic target tracking using image motion

Real time, dynamic target tracking using image motion

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2005 IEEE International Conference on Mechatronics, ICM '05

作者： Saeed, Israr Ahmed Khan Afzulpurkar, Nitin V. Industrial System Engineering Asian Institute of Technology Bangkok Thailand Asian Institute of Technology Bangkok Thailand Mechatronics and Microeletronis Program Asian Institute of Technology Thailand

ISBN: (纸本)0780389980

This paper describes the application of real time vision system for dynamic tracking of moving objects, using image motion. The study encompasses experimental development of an Intelligent system that works in ordinary light and is capable of tracking moving objects with unpredictable motion. In this research the task of mobile target tracking using a pan-and-tilt camera is considered with motion-based dynamic target tracking to deal with complex targets (shape and motion pattern unknown). We propose a method based on retrieving the target position in the image from its estimated motion. Our proposed method is based on obtaining a desired 2-D motion field in the image sequence. In this study we link variations of visual features linearly to the camera velocity. Stereovision technique is used to calculate the maximum angular displacement to retrieve the object position in image and to get the direction of motion of the object. The results are obtained in a real time test environment and are discussed. We developed the program in C++ language for linking all the algorithms in one chain. The complete target tracking algorithm works in a real time mode and can be utilized for a number of applications. © 2005 IEEE.

关键词： Tracking (position)

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Proof-of-concept for a novel management mobility framework for point to point radio communication in wireless networks

Proof-of-concept for a novel management mobility framework f...

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作者： Pitu, Ciprian-Leonard Blendea, Carmen-Melinda Siemens Program and System Engineering Braşov Corporate Technology Central Eastern Europe Department Romania

ISBN: (纸本)9781424473359

In this paper the authors present the results of a prototype implemented based on previous concept studies: a novel mobility management framework with functions for built-in verification of configuration changes and for fault tolerance. This mechanism is required for increased network stability, to prevent the data loss, inadequate changes and to ensure that the moving user stays connected even in a busy network environment. The scope of this paper is to propose a proof of concept study in order to demonstrate the reliability and the superiority of the new architecture when compared to the traditional peer-to-peer (P2P) model. The paper deals with the implementation of the algorithm for fault tolerance and functions for updating the network configuration against all unexpected changes. The advantage of this approach is that the fault rate is extremely decreased, the data flow is constant, time is saved, the client's performance is increased and the server load is reduced. The mobility framework is implemented in Java using OMNET++ platform as a simulation environment.

关键词： Fault tolerance

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Ozone pollution induced-yield loss of major staple crops in China and effects from COVID-19

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Journal of Environmental Sciences 2025年 157卷 804-820页

作者： Haiyang Liu Siyuan Wang Guangsheng Chen Zhaozhong Feng Di Liu Wenxiu Zhang Shufen Pan Hanqin Tian State Key Laboratory For Ecological Security of Regions and Cities Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China University of Chinese Academy of Sciences Beijing 100049 China College of Environmental and Resource Sciences Zhejiang A&F University Hangzhou 311300 China School of Ecology and Applied Meteorology Nanjing University of Information Science and Technology Nanjing 210044 China Department of Engineering and Environmental Studies Program Boston College Chestnut Hill MA 02467-9991 USA Center for Earth System Science and Global Sustainability Schiller Institute for Integrated Science and Society Boston College Chestnut Hill MA 02467-9991 USA Department of Earth and Environmental Sciences Boston College Chestnut Hill MA 02467-9991 USA

Surface ozone (O 3 ) pollution showed a continuous increasing trend during the recent decades in China, posing an increasing threat to food security. A wide range of yield reductions have been reported and thus more studies are needed to narrow down the uncertainty resulting from spatiotemporal accuracy of O 3 metrics and extrapolation methods. Based on a high spatial resolution (0.1°) hourly surface O 3 data, here we analyzed the spatiotemporal O 3 pollution patterns and impacts on yield, production and economic losses for wheat, rice, and maize in China during 2005–2020. The accumulated O 3 exposure over a threshold of 40 ppb (AOT40) increased by 10 % during 2005–2019, and a decrease of 5.56 % was observed in 2020 due to the COVID-19 lockdowns. Rising O 3 pollution reduced national level wheat, rice and maize yields by 14.51 % ± 0.43 %, 11.10 % ± 0.6 %, and 3.99 % ± 0.11 %, respectively. A Business-As-Usual projection suggested that the relative yield loss (RYL) would potentially reach 8 %–18 % at the national scale by 2050 if no emission control is implemented. COVID-19 lockdowns in 2020 led to significantly reduced RYL for maize (0.52 %) and rice (2.17 %) but not for wheat (0.11 %), with the largest reduction (1.88 %–9.4 %) in North China Plain, highlighting the potential benefits of emission control. Our findings provided robust evidence that rising O 3 pollution has significantly affected China's crop yields, production and economic losses, underscoring the urgent need to curb O 3 pollution to safeguard food security, particularly in densely populated and industrialized regions.

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THE NEXT-GENERATION IN UNDERWATER ACOUSTIC DETECTION

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AT&T TECHNICAL JOURNAL 1995年第4期74卷 4-15页

作者： EICKMEYER, JR EPTING, BE THOMPSON, MV Undersea Systems Engineering Department at AT&T Advanced Technology Systems in Whippany New Jersey Fixed Distributed System-Underwater Segment (FDS-UWS) program at AT&T Advanced Technology Systems in Greensboro North Carolina Undersea Systems Engineering Department at AT&T Bell Laboratories in Whippany New Jersey

Since the 1950s, AT&T has provided underwater detection equipment to the U.S. Navy to satisfy the navy's two-tier mission of studying the ocean and developing and testing sonar systems. The latest generation of hardware is a fiber-optic system that has the transmission capacity of all the previous systems combined. Its design and development has provided a challenge both from the technical aspect of meeting stringent performance requirements and from the engineering aspect of managing a large defense program having a budget greater than $500 million. Following a brief summary of AT&T's history in the development and manufacture of underwater acoustic detection hardware, this paper provides a technical description of the fiber-optic system and a project history describing the processes used in bringing the equipment into production. During the period of program execution (1989 to the present), systems engineering management philosophy has evolved from strict now-down of requirements via military standards to concurrent engineering and product-realization teams. The Fixed Distributed system (FDS) project has followed the same route, partly by design and partly by necessity. It provided some valuable lessons that have been learned and incorporated into the present AT&T Advanced technology systems (ATS) engineering process, which has been the basis for AT&T Best Current Practices in systems engineering.

关键词： Underwater acoustics

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Loss Balancing for Physics-Informed Neural Networks Considering Procedure for Solving Partial Differential Equations 13

Loss Balancing for Physics-Informed Neural Networks Consider...

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Joint 13th International Conference on Soft Computing and Intelligent systems and 25th International Symposium on Advanced Intelligent systems, SCIS and ISIS 2024

作者： Kojima, Manabu Otsuki, Kazuma Suzuki, Masato Abe, Masajiro Baba, Masaaki Yokota, Kazuya Master's Program in Mechanical Engineering Nagaoka University of Technology Nagaoka Japan Nagaoka University of Technology Department of System Safety Engineering Nagaoka Japan Nagaoka University of Technology Department of Mechanical Engineering Nagaoka Japan

ISBN: (纸本)9798350373332

With the development of machine learning, numerical analysis using neural networks has been devised. Remarkably, physics-informed neural networks (PINNs) enable physically consistent numerical analysis by introducing a loss function that conforms to relevant governing equations. Moreover, research is rapidly advancing for the application of PINNs to inverse analysis in areas such as physical property identification. For a PINN to learn governing equations, the weights of the loss functions should be properly determined because they have different roles in components such as boundary conditions, initial conditions, and governing equations. However, weight setting is generally challenging. We propose a loss balancing method considering the procedure for solving partial differential equations. The proposed method is validated through comparisons with conventional solvers. © 2024 IEEE.

关键词： Partial differential equations

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Counting number of points for acne vulgaris using UV fluorescence and image processing

Counting number of points for acne vulgaris using UV fluores...

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4th Biomedical engineering International Conference, BMEiCON-2011

作者： Khongsuwan, Manita Kiattisin, Supaporn Wongseree, Waranyu Leelasantitham, Adisorn Technology of Information System Management Program Faculty of Engineering Mahidol University 25/25 Puttamonthon Nakorn Pathom 73170 Thailand

ISBN: (纸本)9781457721908

This paper presents counting number of points for the *** vulgaris using UV Fluorescence and image processing. This proposed method uses a process of image processing as follows. Cropping a UV image is to select a region of interest and, then the cropped image is resized for a suitable size and it (or the color image) is converted to a gray image. Quality of this gray image will be improved for image enhancement using adaptive histogram equalization. Finally, extended maxima transform, i.e. the regional maxima of the H-maxima transform, is used for counting number of the *** points. The experimental results show that the accuracy, sensitivity and precision are approximately at 83.75%, 98.22% and 85.04%, respectively. It saves time to analysis of the acne points. © 2011 IEEE.

关键词： Image enhancement

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Counting number of sweat glands using image processing

Counting number of sweat glands using image processing

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4th Biomedical engineering International Conference, BMEiCON-2011

作者： Pakkaselevat, Narutchai Kiattisin, Supaporn Wongseree, Waranyu Leelasantitham, Adisorn Technology of Information System Management Program Faculty of Engineering Mahidol University 25/25 Puttamonthon Nakorn Pathom 73170 Thailand

ISBN: (纸本)9781457721908

This paper presents counting number of the sweat glands using image processing. This method uses a process of image processing as follows. The cropped image of the sweat glands is resized for an extensive size and it is converted to gray image. Then, unsharp filter is used for this image to adjust clearly the sweat glands. Quality of the image will be improved for image enhancement using adaptive histogram equalization. Finally, extended minima transform, i.e. the regional minima of the H-minima transform, is used for counting number of the sweat glands. The experimental results show that the accuracy, sensitivity and precision are approximately at 70.31%, 77.38% and 88.89%, respectively. It saves time to analysis of the sweat glands. © 2011 IEEE.

关键词： Image enhancement

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Biomedical data and AI

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Science China Life Sciences 2025年第5期68卷 1536-1540页

作者： Hao Xu Shibo Zhou Zefeng Zhu Vincenzo Vitelli Liangyi Chen Ziwei Dai Ning Yang Luhua Lai Shengyong Yang Sergey Ovchinnikov Zhuoran Qiao Sirui Liu Chen Song Jianfeng Pei Han Wen Jianfeng Feng Yaoyao Zhang Zhengwei Xie Yang-Yu Liu Zhiyuan Li Fulai Jin Hao Li Mohammad Lotfollahi Xuegong Zhang Ge Yang Shihua Zhang Ge Gao Pulin Li Qi Liu Jing-Dong Jackie Han Peking-Tsinghua Center for Life Sciences (CLS) Academy for Advanced Interdisciplinary StudiesPeking University Center for Quantitative Biology (CQB) Academy for Advanced Interdisciplinary StudiesPeking University Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program Academy for Advanced Interdisciplinary StudiesPeking University Department of Physics University of Chicago School of Life Sciences Southern University of Science and Technology Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies College of Chemistry and Molecular Engineering Peking University Department of Biotherapy Cancer Center and State Key Laboratory of BiotherapyWest China HospitalSichuan University Department of Biology Massachusetts Institute of Technology Lambic Therapeutics Inc. Changping Laboratory Al for Science Institute Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Fudan University Department of Obstetrics and Gynecology West China Second University HospitalSichuan University Peking University International Cancer Institute and Peking University-Yunnan Baiyao International Medical Institute and State Key Laboratory of Natural and Biomimetic Drugs Department of Molecular and Cellular PharmacologySchool of Pharmaceutical SciencesPeking University Health Science CenterPeking University Channing Division of Network Medicine Department of MedicineBrigham and Women's Hospital and Harvard Medical School Center for Artificial Intelligence and Modeling the Carl R.Woese Institute for Genomic BiologyUniversity of Illinois Urbana-Champaign Department of Genetics and Genome Sciences School of Medicine and Department of Computer and Data Sciences and Department of Population and Quantitative Health SciencesCase Western Reserve University Department of Biochemistry and Biophysics University of California Sanger Institute Department of Automation Tsinghua University State Key Laboratory of Multimodal Artificial Intelligence Systems I

The development of artificial intelligence(AI) and the mining of biomedical data complement each other. From the direct use of computer vision results to analyze medical images for disease screening, to now integrating biological knowledge into models and even accelerating the development of new AI based on biological discoveries, the boundaries of both are constantly expanding, and their connections are becoming closer.

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Innovation in Transfer Assist Technologies for Persons with Severe Disabilities and Their Caregivers

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IEEE Potentials 2017年第1期36卷 34-41页

作者： Sivaprakasam, Andrew Wang, Hongwu Cooper, Rory A. Koontz, Alicia M. Human Engineering Research Laboratories Pitt Cooperative Education Program United States Department of Rehabilitation Science and Technology University of Pittsburgh United States Human Engineering Research Laboratories VA Pittsburgh HealthCare System University of Pittsburgh United States

When the human body is immobile, it deteriorates after a short period of time. Early and frequent mobilization of a patient or resident is thus critical to maintaining or regaining health. The effects of immobility are often a deterioration of numerous body systems and increased dependence on caregivers to assist with activities of daily living [1]. Complications associated with chronic immobility include patient injury, development of pressure ulcers, muscle atrophy, metabolic decline, joint contractures, microvascular dysfunction, atelectasis, thromboembolic disease, and psychological decline. These complications are exacerbated in the case of an obese patient. © 2016 IEEE.

关键词： Wheelchairs Assistive technology Sensory aids Actuators

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