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International Conference on Software engineering - Companion, ICSE, Companion

作者： Chengjie Lu Department of Engineering Complex Software Systems Simula Research Laboratory Oslo Norway

Cyber-physical systems (CPSs) are designed to in-tegrate computation and physical processes through constantly interacting with the physical environment. The complexity and uncertainty of the environment often come up with unpredictable situations, which place high demands on the dynamic adaptability of CPSs. Further, as the environment evolves, the CPS needs to constantly evolve itself to adapt to the changing environment. This paper presents a research plan that aims to develop a novel framework to address CPS design challenges under uncertain environments. We propose to utilize evolutionary computation and reinforcement learning techniques to design control policies that can adapt to the dynamic changes and uncertainties of the environment. Further, novel testing and evaluation approaches that can generate test cases while adapting to dynamic changes in the system and the environment will be explored.

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Test Scenario Generation for Autonomous Driving systems with Reinforcement Learning

Test Scenario Generation for Autonomous Driving Systems with...

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International Conference on Software engineering - Companion, ICSE, Companion

作者： Chengjie Lu Department of Engineering Complex Software Systems Simula Research Laboratory Oslo Norway

We have seen rapid development of autonomous driving systems (ADSs) in recent years. These systems place high requirements on safety and reliability for their mass adoption, and ADS testing is one of the crucial approaches to ensure the success of ADSs. To this end, this paper presents RLTester, a novel ADS testing approach, which adopts reinforcement learning (RL) to learn critical environment configurations (i.e., test scenarios) of the operating environment of ADSs that could reveal their unsafe behaviors. To generate diverse and critical test scenarios, we defined 142 environment configuration actions, and adopted the Time- To-Collision metric to construct the reward function. Our evaluation shows that RLTester discovered a total of 256 collisions, of which 192 are unique collisions, and took on average 11.59 seconds for each collision. Further, RLTester is effective in generating more diverse test scenarios compared to a state-of-the art approach, DeepCollision.

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Deep Learning-Based Positioning Error Fault Diagnosis of Wire Bonding Equipment and an Empirical Study for IC Packaging

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IEEE Transactions on Semiconductor Manufacturing 2023年第4期36卷 619-628页

作者： Kao, Sheng-Xiang Chien, Chen-Fu International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu30013 Taiwan Intelligent Manufacturing and Circular Economy Research Center National Tsing Hua University Artificial Intelligence for Intelligent Manufacturing Systems Research Center National Science and Technology Council Department of Industrial Engineering and Engineering Management Hsinchu300044 Taiwan

Little research has been done for artificial intelligence applications of semiconductor backend. This study aims to develop a deep learning based fault diagnosis framework as prognostics and health management (PHM) solutions with a comprehensive analytics process. A linear encoder sensor is employed to measure position, while data preparation is conducted to convert position information into a signal. Then, signal processing is used to extract the features, in which high pass filter is applied to normalize the signal and emphasize the features. High-dimensional features including time domain statistical features, time-frequency domain features obtained by continuous wavelet transform (CWT), and frequency domain features converted by fast Fourier transform (FFT) are extracted to prepare the dataset. An ensemble neural network model that integrates deep neural network (DNN) and convolutional neural network (CNN) is employed to recognize the pattern and diagnose the positioning errors. The accuracy and false alarm rate are considered to support maintenance decisions. An empirical study was conducted in a world leading IC assembly and testing company for validation. The results have shown that the proposed approach can effectively detect inappropriate installation of the bond head in wire bonding equipment for predictive maintenance and cost reduction. © 1988-2012 IEEE.

关键词： Failure analysis

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Collective gradient sensing by dilute swimming bacteria without clustering

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Physical Review research 2024年第3期6卷 L032061页

作者： Tatsuro Kai Takahiro Abe Natsuhiko Yoshinaga Shuichi Nakamura Seishi Kudo Shoichi Toyabe Department of Applied Physics Graduate School of Engineering WPI Advanced Institute for Materials Research MathAM-OIL Department of Complex and Intelligent Systems

We characterize the taxis enhancement of swimming bacteria by collective migration without apparent clustering. We confine a dilute Salmonella suspension in a shallow channel and evaluate the thermotaxis response to local heating and diffusion. By combining cell tracking analysis and numerical simulation based on simple modeling, we show that the alignment interaction suppresses orientation fluctuation, strengthens migration bias, and also prevents the dispersion of accumulated population. The results show a prominent example of how a collective motion of active matter implements a biological function.

关键词： Collective behavior Bacteria Living matter & active matter

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Shortest-Path Percolation on Random Networks

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Physical Review Letters 2024年第4期133卷 047402-047402页

作者： Minsuk Kim Filippo Radicchi Center for Complex Networks and Systems Research Luddy School of Informatics Computing and Engineering <a href="https://***/01kg8sb98">Indiana University</a> Bloomington Indiana 47408 USA.

We propose a bond-percolation model intended to describe the consumption, and eventual exhaustion, of resources in transport networks. Edges forming minimum-length paths connecting demanded origin-destination nodes are removed if below a certain budget. As pairs of nodes are demanded and edges are removed, the macroscopic connected component of the graph disappears, i.e., the graph undergoes a percolation transition. Here, we study such a shortest-path-percolation transition in homogeneous random graphs where pairs of demanded origin-destination nodes are randomly generated, and fully characterize it by means of finite-size scaling analysis. If budget is finite, the transition is identical to the one of ordinary percolation, where a single giant cluster shrinks as edges are removed from the graph; for infinite budget, the transition becomes more abrupt than the one of ordinary percolation, being characterized by the sudden fragmentation of the giant connected component into a multitude of clusters of similar size.

关键词： Continuous phase transition Discontinuous phase transition Percolation phase transition

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Field Study of Drive-by Monitoring for Estimating Road Unevenness with Buses in Service Operation

Field Study of Drive-by Monitoring for Estimating Road Uneve...

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Experimental Vibration Analysis for Civil engineering Structures - EVACES 2023 - Volume 2

作者： Shin, Ryota Sakuma, Katsuki Okada, Yukihiko Yamamoto, Kyosuke Degree Program in Systems and Information Engineering University of Tsukuba Ibaraki Tsukuba305-8577 Japan Degree Program in Engineering Mechanics and Technology University of Tsukuba Ibaraki Tsukuba305-8577 Japan Institute of Systems and Information Engineering University of Tsukuba Ibaraki Tsukuba305-8577 Japan Center for Artificial Intelligence Research University of Tsukuba Ibaraki Tsukuba305-8573 Japan

ISBN: (纸本)9783031391163

As global road infrastructure expands rapidly, especially in developing countries, maintaining the quality and safety of these roads becomes critical. However, many routes lack detours, and the swift deterioration of these busy roads raises serious concerns. Therefore, there is an urgent need for a cost-effective, quick inspection method. This study proposes a solution through drive-by monitoring. We utilized commercial buses with vibration sensors and Global Positioning System (GPS) devices. The GPS receivers, acting as accurate clocks, could record the bus’s location while providing space- and time-synchronization for the simultaneously measured vibration data. For this study, we installed an acceleration sensor under each bus seat. We can convert the recorded vehicle vibration data into road unevenness information, assuming specific vehicle parameters. To minimize errors, we updated the assumed parameters to align more closely with the average road unevenness versus the estimated unevenness from each bus. We employed a Genetic Algorithm, a search heuristic that mimics the process of natural evolution, to update these parameters. Through this methodology, we could estimate vehicle parameters and road unevenness, paving the way for an efficient, low-cost road inspection method. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Cost effectiveness

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Optimizing Polynomial-Time Solutions to a Network Weighted Vertex Cover Game

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IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 512-523页

作者： Jie Chen Kaiyi Luo Changbing Tang Zhao Zhang Xiang Li the Adaptive Networks and Control Laboratory Department of Electronic EngineeringFudan UniversityShanghai 200433China the College of Mathematics and Computer Science Zhejiang Normal UniversityJinhua 321004 Yuxi Middle School Taizhou 317399China IEEE the College of Physics and Electronics Information Engineering Zhejiang Normal UniversityJinhua 321004China the College of Mathematics and Computer Science Zhejiang Normal UniversityJinhua 321004China the Adaptive Networks and Control Laboratory Department of Electronic EngineeringFudan UniversityShanghai 200433 the Institute of Complex Networks and Intelligent Systems Shanghai Research Institute for Intelligent Autonomous SystemsTongji UniversityShanghai 201210China

Weighted vertex cover(WVC)is one of the most important combinatorial optimization *** this paper,we provide a new game optimization to achieve efficiency and time of solutions for the WVC problem of weighted *** first model the WVC problem as a general game on weighted *** the framework of a game,we newly define several cover states to describe the WVC ***,we reveal the relationship among these cover states of the weighted network and the strict Nash equilibriums(SNEs)of the ***,we propose a game-based asynchronous algorithm(GAA),which can theoretically guarantee that all cover states of vertices converging in an SNE with polynomial ***,we improve the GAA by adding 2-hop and 3-hop adjustment mechanisms,termed the improved game-based asynchronous algorithm(IGAA),in which we prove that it can obtain a better solution to the WVC problem than using a the ***,numerical simulations demonstrate that the proposed IGAA can obtain a better approximate solution in promising computation time compared with the existing representative algorithms.

关键词： Game-based asynchronous algorithm(GAA) game optimization polynomial time strict Nash equilibrium(SNE) weighted vertex cover(WVC)

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Identification and Prediction of Microvascular Invasion in Hepatocellular Carcinoma Based on Multiple Sequence Fusion Images 43

Identification and Prediction of Microvascular Invasion in H...

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43rd Chinese Control Conference, CCC 2024

作者： Lu, Mingguang Zhu, Yuan China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China

ISBN: (纸本)9789887581581

Hepatocellular carcinoma (HCC) is one of the most difficult diseases to be treated fundamentally in the medical field in today's world, and the recurrence rate of HCC has been increasing year by year in recent years. The study on the identification and prediction of microvascular invasion phenomenon (MVI) in hepatocellular carcinoma is beneficial to the postoperative prevention of hepatocellular carcinoma patients, which can greatly improve the survival probability of patients after surgery. In this study, a new MVI prediction method (MSF-GWO-GPR) was proposed, which combines the multi-sequence image features of imaging histology, sifts out the unimportant features through the T-test method and the dimensionality reduction of Lasso regression, and establishes the multi-sequence Gaussian process regression (GPR) prediction model for data fusion, and combined with the Gray Wolf Optimization (GWO) algorithm to design a suitable optimization objective function to optimize the hyper-parameters in the GPR, in order to get better prediction results. Compared with the existing methods, the data from different sequences of MRI images are selected for fusion in this study, which makes the feature data richer and more complete, and the model applicability is better;moreover, by optimizing the hyperparameters in the model through the GWO, the model can be made more accurate, reduce the risk of misidentified prediction, and improve the accuracy rate. The experimental results show that MSF-GWO-GPR outperforms widely used machine learning methods in terms of accuracy, F1 score, precision, recall and AUC metrics. This may provide a new idea for the identification and prediction of MVI in hepatocellular carcinoma. © 2024 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Dimensionality reduction

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Study on In-clothes Body Weight Support System to Support Treating and Recovering Knee Arthopathy

Study on In-clothes Body Weight Support System to Support Tr...

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2022 IEEE International Conference on systems, Man, and Cybernetics, SMC 2022

作者： Netsu, Kohki Kawamoto, Hiroaki Sankai, Yoshiyuki Univetsity of Tsukuba Master's Program in Intelligent and Mechanical Interaction Systems Ibaraki Japan University of Tsukuba Faculty of Engineering Information and Systems Center for Cybernics Research Ibaraki Japan

ISBN: (数字)9781665452588

ISBN: (纸本)9781665452588

Patients with knee arthropathy suffer from pain owing to damage at the knee joint cartilage and experience difficulty in walking as the condition worsens. As one of treatments of knee arthropathy, an implantation of cellular cartilage has been performed. After implantation of cellular cartilage, the knee joint should avoid overweight to prevent cell damage form body weight and apply appropriate mechanical stress to articular cartilage to promote cartilage regeneration. Therefore, a weight support system which can adjust the amount of weight in everyday use is required. This study aims to develop an in-clothes body weight support system to protect the knee joint during daily walking to support knee arthropathy treatment and recovery in regenerative medicine, and confirm basic performance of the system through experiments with able-bodied person. The system had frame structure with two-node link from the groin to the foot with the user's knee joint as the center of rotation. It consisted of load-bearing seat, height adjustment mechanism, thigh cuff, mechanical knee joint, and, ground reaction force sensor shoes, and was designed to be sufficiently thin to fit inside clothes. In the 10-Meter walking test, the system could adjust the amount of supporting weight and support two-thirds, one-half, and one-third of total body weight of an able-bodied participant during walking. In conclusion, we confirmed that the developed system had basic performance of weight support. © 2022 IEEE.

关键词： Cartilage

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Exploring Image Generation for UAV Change Detection

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IEEE/CAA Journal of Automatica Sinica 2022年第6期9卷 1061-1072页

作者： Xuan Li Haibin Duan Yonglin Tian Fei-Yue Wang Peng Cheng Laboratory Shenzhen 518000China IEEE State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical EngineeringBeihang UniversityBeijing 100083 Department of Automation University of Science and Technology of ChinaHefei 230027 State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Research Center for Computational Experiments and Parallel Systems Technology National University of Defense TechnologyChangsha 410073China

Change detection(CD)is becoming indispensable for unmanned aerial vehicles(UAVs),especially in the domain of water landing,rescue and ***,even the most advanced models require large amounts of data for model training and ***,sufficient labeled images with different imaging conditions are *** by computer graphics,we present a cloning method to simulate inland-water scene and collect an auto-labeled simulated *** simulated dataset consists of six challenges to test the effects of dynamic background,weather,and noise on change detection ***,we propose an image translation framework that translates simulated images to synthetic *** framework uses shared parameters(encoder and generator)and 22×22 receptive fields(discriminator)to generate realistic synthetic images as model training *** experimental results indicate that:1)different imaging challenges affect the performance of change detection models;2)compared with simulated images,synthetic images can effectively improve the accuracy of supervised models.

关键词： Change detection computer graphics image translation simulated images synthetic images unmanned aerial vehicles(UAVs)

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