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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Sukhwinder Singh Vinod Kumar H.K. Verma Dilbag Singh Department of Computer Science and Information Engineering Sant Longowal Institute of Engineering and Technology India Department of Electrical Engineering Indian Institute of Technology Roorkee Roorkee India Department of Instrumentation & Control Engineering Dr. B. R. Ambedkar National Institute of Technology Jalandhar - 144 011 Punjab INDIA. e-mail: singhd@nitj.ac.in

This paper presents a SVM based computer-aided diagnosis (CAD) system for the characterization of clustered microcalcifications in digitized mammograms. First, the region of interest (ROI) in mammogram is enhanced using morphological enhancement (MORPHEN) method. Second, pixels in potential microcalcification regions are segmented out by using edge detection and morphological operations. Third, features based on shape, texture and statistical properties are extracted from each region. Finally, these features are fed to a SVM based classifier for identifying the clusters as either benign or malignant. The SVM with RBF kernel gave A z =0.9803 with 97% accuracy and the SVM with polynomial kernel gave A z =0.9541 with 95% accuracy

关键词： Support vector machines Support vector machine classification computer aided diagnosis Image edge detection Kernel Coronary arteriosclerosis Cancer detection Breast cancer Feature extraction Background noise

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Condition Monitoring and Fault Diagnosis of Coal Mill Based on Mechanism Modeling Simulation and D-S Evidence Fusion

Condition Monitoring and Fault Diagnosis of Coal Mill Based ...

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第34届中国控制与决策会议

作者： Tian Qiu Yuchen Yang Yue Guo Xiaofeng Chen Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University School of Control and Computer Engineering North China Electric Power University North China Electric Power Research Institute Co. Ltd

The coal mill is the key equipment of powdering system in coal-fired power plants,whose working state has an important influence on the combustion stability of boiler as well as the operation ***,owing to the lack of real fault data,it is difficult and not available enough to support and achieve the research of data-driven fault diagnosis ***-type medium-speed coal mill was selected as the research object in this ***,the existing mechanism model had been further improved to make it more effective and reasonable,and we used it to respectively simulate the typical operating data of the normal condition and three fault *** paper transformed the problem of fault diagnosis into the measurement of similarity between the testing and the typical fault samples,taking the numerical distance and changing trends into account,and adopted the concept of similarity function and transformed the results into the expression and calculation of probability level,which was calculated as the diagnostic evidence of individual parameters under the same time scale.D-S evidence theory was employed to fuse the individual evidence between multiple parameters evidence,getting the fusion of multiparametric evidence as to the final diagnosis ***,the experiments verified the high accuracy of the proposed diagnostic method,and the similarity function has high rationality and feasibility.

关键词： Coal Mill System Process Fault Dynamic Mathematical Model Similarity Function D-S Evidence Fusion Theory Fault Diagnosis

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Universal Steganalysis Based on Local Prediction Error in Wavelet Domain

Universal Steganalysis Based on Local Prediction Error in Wa...

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International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP)

作者： Anahita Shojaei-Hashemi Mostafa Mehdipour-Ghazi Shahrokh Ghaemmaghami Hamid Soltanian-Zadeh School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Electronics Research Institute Sharif University of Technology Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI USA Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

A passive universal image steganalysis method is proposed that is shown to be of higher detection accuracy than existing truly blind steganalysis methods including Farid's and the WAM. This is achieved by improving some weaknesses of Farid's steganalysis scheme in feature extraction, that is, instead of deriving an over-determined equation system for each sub band of the wavelet decomposition, the sub bands are divided into overlapping blocks and an over-determined equation system is constructed for each block. To guarantee the existence of finite answers, the over-determined equation systems are solved in a way different from Farid's by using Moore-Penrose pseudo-inverse concept. Further improvement to the performance is achieved by adding diagonal directions and increasing the number of moments. The comparative evaluations confirm the superiority of the proposed method over prevalent blind steganalysis schemes.

关键词： Equations Mathematical model Payloads Transform coding Correlation Educational institutions Reliability

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Policy Evaluation in Distributional LQR

arXiv

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arXiv 2023年

作者： Wang, Zifan Gao, Yulong Wang, Siyi Zavlanos, Michael M. Abate, Alessandro Johansson, Karl H. Division of Decision and Control Systems KTH Royal Institute of Technology Sweden Department of Computer Science University of Oxford United Kingdom Information-oriented Control Technical University of Munich Germany Department of Mechanical Engineering and Materials Science Duke University United States

Distributional reinforcement learning (DRL) enhances the understanding of the effects of the randomness in the environment by letting agents learn the distribution of a random return, rather than its expected value as in standard RL. At the same time, a main challenge in DRL is that policy evaluation in DRL typically relies on the representation of the return distribution, which needs to be carefully designed. In this paper, we address this challenge for a special class of DRL problems that rely on discounted linear quadratic regulator (LQR) for control, advocating for a new distributional approach to LQR, which we call distributional LQR. Specifically, we provide a closed-form expression of the distribution of the random return which, remarkably, is applicable to all exogenous disturbances on the dynamics, as long as they are independent and identically distributed (i.i.d.). While the proposed exact return distribution consists of infinitely many random variables, we show that this distribution can be approximated by a finite number of random variables, and the associated approximation error can be analytically bounded under mild assumptions. Using the approximate return distribution, we propose a zeroth-order policy gradient algorithm for risk-averse LQR using the Conditional Value at Risk (CVaR) as a measure of risk. Numerical experiments are provided to illustrate our theoretical results. © 2023, CC BY.

关键词： Reinforcement learning

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Agreement between a computer-assisted tool and radiologists to classify lesions in breast elastography images

Agreement between a computer-assisted tool and radiologists ...

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SPIE Medical Imaging 2017

作者： Marcomini, K.D. Fleury, E.F.C. Oliveira, V.M. Carneiro, A.A.O. Schiabel, H. Nishikawa, R.M. Dept. of Electrical and Computer Engineering University of Sao Paulo Sao Carlos Brazil Brazilan Institute for Cancer Control Sao Paulo Brazil Faculty of Medical Sciences of Santa Casa de Sao Paulo Sao Paulo Brazil Dept. of Physics University of Sao Paulo Ribeirao Preto Brazil Dept. of Radiology University of Pittsburgh Pittsburgh United States

In order to provide quantitative and less subjective data regarding the stiffness of a lesion, we developed a tool to measure the amount of hard area in a lesion from the 2D image. The database consisted of 78 patients with 83 breast lesions (31 malignant and 52 benign)-Two radiologists and one resident manually drew the contour of the lesions in B-mode ultrasound images and the contour was mapped in the elastography image. By using the system proposed, the radiologists obtained a very good diagnostic agreement among themselves (kappa = 086), achieving the same sensitivity and specificity (80.7 and 885, respectively), and an AUC of 0.883 for Radiologist 1 and 0.892 for Radiologist 2. The Resident had less interobserver agreement, as well as lower specificity and AUC, which may be related to less experience. Furthermore, the radiologists had an agreement with the tool used in the automatic method higher than 90%. Thus, the method developed was useful in aiding the diagnosis of breast lesions in strain elastography, minimizing its subjectivity. © 2017 SPIE.

关键词： Medical imaging

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Transmutations by Nanosecond Electromagnetic Impulses

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Journal of Chemistry and Chemical engineering 2015年第3期9卷 211-217页

作者： Valeriy Vadlmovlch Krymskiy Vladimir Fedorovich Balakirev Natalia Valereyvna Plotnikova Energy Department South Ural State University Chelyabinsk 454080 Russia Institute of Metallurgy of the Ural Separation of the Russian Academy of Sciences Ekaterinburg 620016 Russia Computer Engineering Control and Communication Department South Ural State University Chelyabinsk 454080 Russia

Some experiments on radiation of hydrocarbons and the alloys including Bismuth and Lead by power nanosecond electromagnetic pulses are described. The list of the used equipment and technique of experiments are given. The result of these experiences is change of a chemical composition of the irradiated samples in comparison with the initial ones. Conversion of part of Bismuth to Lead is observed. The hypothesis of such changes is made.

关键词： Transmutation electromagnetic pulse nanosecond Lead Bismuth.

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Innovations in Simulation: Experiences With Cloud-Based Simulation Experimentation

Innovations in Simulation: Experiences With Cloud-Based Simu...

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Simulation Winter Conference

作者： Simon J. E. Taylor Anastasia Anagnostou Nura Tijjani Abubakar Tamas Kiss James DesLauriers Gabor Terstyanszky Peter Kacsuk Jozsef Kovacs Shane Kite Gary Pattison James Petry Modelling & Simulation Group Brunel University London Uxbridge UK Centre for Parallel Computing School of Computer Science and Engineering University of Westminster London UK Institute for Computer Science and Control (SZTAKI) Budapest HUNGARY Saker Solutions Ltd Warwickshire UK

ISBN: (数字)9781728194998

ISBN: (纸本)9781728195001

The amount of simulation experimentation that can be performed in a project can be restricted by time, especially if a model takes a long time to simulate and many replications are required. Cloud Computing presents an attractive proposition to speeding up, or extending, simulation experimentation as computing resources can be hired on demand rather than having to invest in costly infrastructure. However, it is not common practice for simulation users to take advantage of this and, arguably, rather than speeding up simulation experimentation users tend to make compromises by using unnecessary model simplification techniques. This may be due to a lack of awareness of what Cloud Computing can offer. Based on several years' experience of innovation in this area, this article presents our experiences in developing Cloud Computing applications for simulation experimentation and discusses what future innovations might be created for the widespread benefit of our simulation community.

关键词： Technological innovation Cloud computing Computational modeling Optimization

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Privacy-protected object detection through trustworthy image fusion

Privacy-protected object detection through trustworthy image...

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作者： Zhang, Chao Zhang, Jinmei Yun, Lijun Zhang, Jun Su, Junbo Yunnan Key Laboratory of Optoelectronic Information Technology Yunnan Normal University Kunming China School of Physics and Electronic Information Yunnan Normal University Kunming China Engineering Research Center of Computer Vision and Intelligent Control Technology Department of Education of Yunnan Province Yunnan Normal University Kunming China Kunming Institute of Physics Ordnance Science and Research Academy of China Kunming China

The neural network-based technologies have emerged as a potent method for image fusion, object detection, and other computer vision tasks as the rapid development of deep learning. Multi-band infrared images, in particular, capture a more extensive range of radiation details and information compared to conventional single-band infrared images. Consequently, the fusion of multi-band infrared images can provide more features for object detection. However, it is crucial to consider that infrared images may contain sensitive information, potentially leading to privacy concerns. Ensuring datasets privacy protection plays a crucial role in the fusion and tracking process. To address both the need for improved detection performance and the necessity for privacy protection in the infrared environment, we proposed a procedure for object detection based on multi-band infrared image datasets and utilized the transfer learning technique to migrate knowledge learned from external infrared data to internal infrared data, thereby training the infrared image fusion model and detection model. The procedure consists of several steps: (1) data preprocessing of multi-band infrared images, (2) multi-band infrared image fusion, and (3) object detection. Standard evaluation metrics for image fusion and object detection ensure the authenticity of the experiments. The comprehensive validation experiments demonstrate the effectiveness of the proposed procedure in object detection tasks. Furthermore, the transfer learning can train our datasets and update the model without exposing the original data. This aspect of transfer learning is particularly beneficial for maintaining the privacy of multi-band infrared images during the fusion and detection processes. © 2024 John Wiley & Sons Ltd.

关键词： Object detection

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An integrated simulation framework for cognitive automobiles

An integrated simulation framework for cognitive automobiles

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IEEE Symposium on Intelligent Vehicle

作者： Stefan Vacek Robert Nagel Thomas Batz Frank Moosmann Rudiger Dillmann Insitute for Computer Science and Engineering University of Karlsruhe Karlsruhe Germany Institute of Communication Networks Munich University of Technology München Germany Fraunhofer IITB Institute for Information and Data Processing Karlsruhe Germany Institute of Measurement and Control University of Karlsruhe Karlsruhe Germany

A cognitive automobile is a complex system. It is an indisputable fact that simulations are valuable tools for the development and testing of such complex systems. This paper presents an integrated closed-loop simulation framework which supports the development of a cognitive automobile. The framework aims at simulating complex traffic scenes in inner-city environments. The key features of the simulation are the generation of synthetic data for high level inference mechanisms, providing data for the analysis of car-to-car communication strategies and evaluation of cooperative vehicle behavior.

关键词： Automobiles Traffic control Communication system control Layout Analytical models Vehicle detection Intelligent vehicles System testing Decision making Path planning

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Case study of unscented state estimation for batch distillation processes

Case study of unscented state estimation for batch distillat...

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9th IEEE International Conference on control and Automation, ICCA 2011

作者： Miranda, Moira Edelmayer, András Encinoza, Adriana Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest Hungary School of Postgraduate Studies Sźechenyi University Egyetem t´er 1 H-9026 Gyor Hungary Laboratory of Unit Operations Department of Chemical Engineering University of Los Andes &#7742erida Venezuela

ISBN: (纸本)9781457714757

In this paper a comparative study on the use of extended and unscented Kalman filters for state estimation in nonlinear systems is presented. This is done to reveal the differences, and congruencies, in filters' synthesis in view of real plant implementation on embedded platforms. One of the objectives is to validate the usual performance measures of the filters, meant by state estimation, experimentally. Design features, such as the complexity of implementation and the sensitivity of the state initialization process on uncertain covariance information at regular filters startup are evaluated in a variety of real plant scenarios. A pilot plant of batch distillation process has been used for experimentation. © 2011 IEEE.

关键词： State estimation

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