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A Fixed-Time Consensus Control With Prescribed Performance for Multi-Agent Systems Under Full-State Constraints IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-22 Shangbin Long, Weicong Huang, Jianhui Wang, Jiarui Liu, Yixiang Gu, Zian Wang
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Set Stabilization and Robust Set Stabilization of Periodically Time-Varying Boolean Control Networks IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-22 Meiling Su, Peilian Guo
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Nonlinear MPC on Parallel Parking for Autonomous Vehicles Under State-Dependent Switching IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-22 Hai Zhao, Hongjiu Yang, Zhengyu Wang, Yuanqing Xia
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A Two-Stage Method for Building Evacuation With Discrete Time Model IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-21 Yuandong Zhang, Qiaozhu Zhai, Zhanbo Xu, Jiang Wu, Xiaohong Guan
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$H_{\infty}$ Control for Interconnected Systems With Unknown System Dynamics: A Two-Stage Reinforcement Learning Method IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-21 Jinxu Liu, Hao Shen, Jing Wang, Jinde Cao, Leszek Rutkowski
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Optimal Gait Planning and Thruster Force Allocation for Rough Terrain Climbing of an Underwater Hexapod Robot IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-20 Lepeng Chen, Rongxin Cui, Weisheng Yan, Yang Li, Kaiyang Xu
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Pose Estimation of Instruments for Automatic Chemical Laboratories Using Multi-Level Template Matching IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-20 Xuchun Zhang, Fei Zhang, Xinsheng Tang, Qing Zhu, Luyuan Zhao, Hengyu Xiao, Shuang Cong, Jun Jiang, Weiwei Shang
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Distributed Filter Under Homologous Sensor Attack and Its Application in GPS Meaconing Attack IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-19 Yukun Shi, Wenjing He, Li Liang, Youqing Wang
This study investigates the state estimation problem of multi-agent systems under a homologous sensor attack. A distributed filter is proposed to achieve a minimum variance unbiased (MVU) estimation of system states and attacks in the presence of measurement noise. A gain matrix selection method for implementing the MVU estimation is also provided. The proposed filter can be used for positioning corrections
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Output Feedback With Feedforward Robust Control for Motion Systems Driven by Nonlinear Position-Dependent Actuators IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-19 Mohammad Al Saaideh, Almuatazbellah M. Boker, Mohammad Al Janaideh
This paper introduces a control approach for a motion system driven by a class of actuators with multiple nonlinearities. The proposed approach presents a combination of a feedforward controller and an output feedback controller to achieve a tracking performance of the motion system. The feedforward controller is mainly proposed to address the actuator dynamics and provide a linearization without requiring
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Controllers for Multiagent Systems With Input Amplitude and Rate Constraints and Their Application to Quadrotor Rendezvous IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2024-08-19 Gang Wang, Zongyu Zuo, Peng Li, Yantao Shen
This paper addresses the consensus issue of multiagent systems with both input amplitude and rate constraints. We propose simple yet effective distributed control algorithms that integrate a velocity damping term with nonlinear saturated functions for both undirected and directed graphs. Leveraging the interplay between Barbalat’s lemma and graph theory, we show that all agents can achieve consensus
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Table of Contents IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2022-10-13
Presents the table of contents for this issue of the publication.
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IEEE Transactions on Automation Science and Engineering Publication Information IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2022-10-13
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Call for Papers: IEEE Transactions on Automation Science and Engineering Special Issue on Human-Cyber-Physical Systems for Intelligent Manufacturing IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2022-10-13
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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IEEE Robotics and Automation Society Information IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2022-10-13
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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IEEE Transactions on Automation Science and Engineering Information for Authors IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2022-10-13
These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal.
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Scheduling Dual-Armed Cluster Tools With Chamber Cleaning Operations IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2019-01-01 Tae-Sun Yu, Tae-Eog Lee
Circuit widths and nodes of semiconductor wafers have been continually shrinking down to less than 20 nm. Therefore, modern wafer fabs enforce extremely strict process control to prevent wafer quality failures. A wafer processing chamber is now frequently cleaned to remove residual chemicals and impurities. Yu et al. show that such cleaning operations significantly change the tool operation of single-armed
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An Efficient Deadlock Prevention Policy for Noncyclic Scheduling of Multicluster Tools IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-10-01 Tatsushi Nishi, Yushin Watanabe, Masaru Sakai
Scheduling of multicluster tools has received much attention due to its complexity of interaction among cluster tools. A cluster tool comprises several modules such as processing modules, a transfer module with a single or dual-armed handling robot, and loadlock modules. A multicluster tool comprises two, three, or more cluster tools that are interconnected with each other. In this paper, we propose
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Lattice Structure Design and Optimization With Additive Manufacturing Constraints IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-10-01 Yunlong Tang, Guoying Dong, Qinxue Zhou, Yaoyao Fiona Zhao
Lattice structures with different desired physical properties are promising for a broad spectrum of applications. The availability of additive manufacturing (AM) technology has relaxed the fabricating limitation of lattice structures. However, manufacturing constraints still exist for AM-fabricated lattice structures, which have a significant influence on the printing quality and mechanical properties
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Multivariable Compensation of Hysteresis, Creep, Badly Damped Vibration, and Cross Couplings in Multiaxes Piezoelectric Actuators IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-10-01 Didace Habineza, Mahmoud Zouari, Yann Le Gorrec, Micky Rakotondrabe
This paper presents the control of a two-degree-of-freedom piezoelectric actuator that exhibits hysteresis nonlinearity, creep nonlinearity, badly damped vibration, and cross couplings without using feedback sensors. The principle consists in compensating first the hysteresis, then the creep, and finally the vibration. The proposed compensation technique is multivariable and therefore is also able
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A Wavelet-Based Statistical Approach for Monitoring and Diagnosis of Compound Faults With Application to Rolling Bearings IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-10-01 Wei Fan, Qiang Zhou, Jian Li, Zhongkui Zhu
This paper proposes a wavelet-based statistical signal detection approach for monitoring and diagnosis of bearing compound faults at an early stage. The bearing vibration signal is decomposed by an orthonormal discrete wavelet transform to obtain its energy dispersions at multiple levels. We investigate the statistical properties of the decomposed signal energy under both the normal and faulty conditions
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Automatic Vision-Guided Micromanipulation for Versatile Deployment and Portable Setup IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-10-01 Liangjing Yang, Ishara Paranawithana, Kamal Youcef-Toumi, U-Xuan Tan
In this paper, an automatic vision-guided micromanipulation approach to facilitate versatile deployment and portable setup is proposed. This paper is motivated by the importance of micromanipulation and the limitations in existing automation technology in micromanipulation. Despite significant advancements in micromanipulation techniques, there remain bottlenecks in integrating and adopting automation
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Structural Fault Detection and Isolation in Hybrid Systems IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-10-01 Hamed Khorasgani, Gautam Biswas
This paper develops a structural diagnosis approach for fault detection and isolation in hybrid systems. Hybrid systems are characterized by continuous behaviors that are interspersed with discrete mode changes in the system, making the analysis of behaviors quite complex. In this paper, we address the mode detection problem in hybrid systems as the first step in diagnoser design. The proposed method
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An Accurate Force Regulation Mechanism for High-Speed Handling of Fragile Objects Using Pneumatic Grippers IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-10-01 Chih-Chieh Chen, Chao-Chieh Lan
Controlling the gripping force on fragile objects has been a challenging task for industrial grippers. The solution often requires an electric gripper with embedded force sensors and control feedback. This approach is costly and leads to extra gripper complexity. To avoid damage while handling fragile objects, this paper presents a novel force regulation mechanism (FRM) to be installed on pneumatic
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Robust Sparse Representation-Based Classification Using Online Sensor Data for Monitoring Manual Material Handling Tasks IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-10-01 Babak Barazandeh, Kaveh Bastani, Mohammadhussein Rafieisakhaei, Sunwook Kim, Zhenyu Kong, Maury A. Nussbaum
Sensor-based online process monitoring has extensive applications, such as in manufacturing and service industries. In real environments, though, sensor data are often contaminated with noise, leading to severe challenges in accurate data analysis. In the existing literature, noise is generally modeled as Gaussian to analyze sensor data for various applications, for example in fault detection and diagnostics
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End-to-End Data Delivery Reliability Model for Estimating and Optimizing the Link Quality of Industrial WSNs IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Wei Sun, Xiaojing Yuan, Jianping Wang, Qiyue Li, Liangfeng Chen, Daoming Mu
With the success of wireless sensor networks (WSNs), traditional engineering and infrastructure industries are starting to develop solutions using WSN technologies. One of the main challenges of designing and developing WSNs for industrial monitoring and control is satisfying their strict reliability requirements. In this paper, we present a network-level reliability model, namely, end-to-end data
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Multiscale Neighborhood Normalization-Based Multiple Dynamic PCA Monitoring Method for Batch Processes With Frequent Operations IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Yajun Wang, Fuming Sun, Bo Li
This paper presents a novel multiscale neighborhood normalization-based multiple dynamic principal component analysis (MNN-MDPCA) method to detect the fault in complex batch processes with frequent operations. Since the difference between batches is larger under random frequent operations according to phase, the corresponding monitoring model should be changed accordingly. However, the data quantity
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Collaborative Assembly in Hybrid Manufacturing Cells: An Integrated Framework for Human-Robot Interaction IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Behzad Sadrfaridpour, Yue Wang
Recent emergence of safe, lightweight, and flexible robots has opened a new realm for human–robot collaboration in manufacturing. Utilizing such robots with the new human–robot interaction (HRI) functionality to interact closely and effectively with a human co-worker, we propose a novel framework for integrating HRI factors (both physical and social interactions) into the robot motion controller for
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Efficient Task and Path Planning for Maintenance Automation Using a Robot System IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Christian Friedrich, Akos Csiszar, Armin Lechler, Alexander Verl
The research and development of intelligent automation solutions is a ground-breaking point for the factory of the future. A promising and challenging mission is the use of autonomous robot systems to automate tasks in the field of maintenance. For this purpose, the robot system must be able to plan autonomously the different manipulation tasks and the corresponding paths. Basic requirements are the
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Automatic Fabric Defect Detection Using Learning-Based Local Textural Distributions in the Contourlet Domain IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Daniel Yapi, Mohand Said Allili, Nadia Baaziz
We propose a learning-based approach for automatic detection of fabric defects. Our approach is based on a statistical representation of fabric patterns using the redundant contourlet transform (RCT). The distribution of the RCT coefficients are modeled using a finite mixture of generalized Gaussians (MoGG), which constitute statistical signatures distinguishing between defective and defect-free fabrics
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Interference-Aware Wireless Networks for Home Monitoring and Performance Evaluation IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Fei Ding, Aiguo Song, Dengyin Zhang, En Tong, Zhiwen Pan, Xiaohu You
In this paper, a home Internet-of-Things system is analyzed by dividing it into four layers, i.e., the node layer, gateway layer, service layer, and open layer. The gateway layer, which supports a variety of wireless technologies and is the core of home wireless networks access unit, together with the node layer constitutes the home wireless network. A gateway prototype following the proposed architecture
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Nonlinear Antiswing Control for Crane Systems With Double-Pendulum Swing Effects and Uncertain Parameters: Design and Experiments IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Ning Sun, Yiming Wu, Yongchun Fang, He Chen
In practical applications, industrial cranes may exhibit double-pendulum swing effects, due to many factors, such as large payload scales and non-negligible hook masses. Currently, for double-pendulum cranes, most available methods are open-loop controllers designed based on linearized crane dynamics; even for existing closed-loop approaches, they are also mostly developed using linearized dynamics
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Automatic and Robust Estimation of Heart Rate in Zebrafish Larvae IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Syam Krishna, Kiranam Chatti, Ramesh R. Galigekere
Noncontact assessment of heart rate (HR) in Zebrafish larvae, based on a video record of the organism, acquired using a camera mounted on a microscope, has gained enormous significance. Completely automatic and robust estimation of HR from videos of nontransgenic larvae requires the determination of an appropriate region of interest (ROI), followed by suitable signal processing steps. Toward such a
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Delta DLP 3-D Printing of Large Models IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Ran Yi, Chenming Wu, Yong-Jin Liu, Ying He, Charlie C. L. Wang
This paper presents a 3-D printing system that uses a low-cost off-the-shelf consumer projector to fabricate large models. Compared with traditional digital light processing (DLP) 3-D printers using a single vertical carriage, the platform of our DLP 3-D printer using delta mechanism can also move horizontally in the plane. We show that this system can print 3-D models much larger than traditional
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Design and Testing of a Flexure-Based Constant-Force Stage for Biological Cell Micromanipulation IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Piyu Wang, Qingsong Xu
This paper presents the design of a novel flexure-based precision positioning stage with constant output force for biological cell micromanipulation. One uniqueness of the proposed design is that it produces a constant force without using a force controller. Only a motion control is needed to produce a constant output force, which significantly simplifies the system design process. The stage is driven
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Finite-Control-Set Model Predictive Control for DFIG Wind Turbines IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Peng Kou, Deliang Liang, Jing Li, Lin Gao, Qiji Ze
This paper presents a time efficient finite-control-set model predictive control (FCS-MPC) scheme for the doubly fed induction generator system. In this scheme, the switching states of the rotor side converter are directly taken as control inputs. This way, the optimized control action can be directly applied to the converter. Compared with the existing FCS-MPC approaches, the salient feature of the
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On-Line Initialization and Extrinsic Calibration of an Inertial Navigation System With a Relative Preintegration Method on Manifold IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Dongshin Kim, Seunghak Shin, In So Kweon
Inertial measurement units (IMUs) are successfully utilized to compensate localization errors in sensor fused inertial navigation systems. An IMU generally produces high-frequency signals ranging from 100 to 1000 Hz, and preintegration methods are applied to effectively process these high-frequency signals for inertial navigation systems. The main problem with an existing preintegration method is that
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Discovering Petri Net Models of Discrete-Event Processes by Computing T-Invariants IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Tonatiuh Tapia-Flores, Ernesto Lopez-Mellado, Ana Paula Estrada-Vargas, Jean-Jacques Lesage
This paper addresses the problem of discovering a Petri Net (PN) from a long event sequence representing the behavior of discrete-event processes. A method for building a 1-bounded PN able to execute the events sequence $S$ is presented; it is based on determining causality and concurrence relations between events and computing the t-invariants. This novel method determines the structure and the initial
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A Wavelet-Based Penalized Mixed-Effects Decomposition for Multichannel Profile Detection of In-Line Raman Spectroscopy IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Xiaowei Yue, Hao Yan, Jin Gyu Park, Zhiyong Liang, Jianjun Shi
Modeling and analysis of profiles, especially high-dimensional nonlinear profiles, is an important and challenging topic in statistical process control. Conventional mixed-effects models have several limitations in solving the multichannel profile detection problems for in-line Raman spectroscopy, such as the inability to separate defective information from random effects, computational inefficiency
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A Heuristic for Inserting Randomly Arriving Jobs Into an Existing Hoist Schedule IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Pengyu Yan, Ada Che, Eugene Levner, Shi Qiang Liu
Hoist scheduling in automated electroplating lines has been extensively studied in a static environment. However, practical electroplating lines are subject to diversified unforeseen disruptions that require frequent rescheduling to maintain or optimize system performance. This paper addresses a hoist scheduling problem, where randomly arriving jobs need to be inserted into an existing schedule without
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A Variable Stiffness Robotic Gripper Based on Structure-Controlled Principle IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Xiong Li, Wenjie Chen, Wei Lin, Kin Huat Low
This paper presents a novel structure-controlled variable stiffness robotic gripper that enables adaptive gripping of soft and rigid objects with a wide range of compliance. With the structure-controllable principle, the stiffness is controlled by the mechanical structure configurations rather than by material properties or electronic means. The principle is realized by changing the effective second
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Time-Aware Multi-Application Task Scheduling With Guaranteed Delay Constraints in Green Data Center IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Haitao Yuan, Jing Bi, MengChu Zhou, Ahmed Chiheb Ammari
A growing number of companies deploy their applications in green data centers (GDCs) and provide services to tasks of global users. Currently, a growing number of GDC providers aim to maximize their profit by deploying green energy facilities and decreasing brown energy consumption. However, the temporal variation in the revenue, price of grid, and green energy in tasks’ delay bounds makes it challenging
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Correctness Guarantees for the Composition of Lane Keeping and Adaptive Cruise Control IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Xiangru Xu, Jessy W. Grizzle, Paulo Tabuada, Aaron D. Ames
This paper develops a control approach with correctness guarantees for the simultaneous operation of lane keeping and adaptive cruise control. The safety specifications for these driver assistance modules are expressed in terms of set invariance. Control barrier functions (CBFs) are used to design a family of control solutions that guarantee the forward invariance of a set, which implies satisfaction
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Computational Deep Intelligence Vision Sensing for Nutrient Content Estimation in Agricultural Automation IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Susanto B. Sulistyo, Di Wu, Wai Lok Woo, S. S. Dlay, Bin Gao
This paper presents a novel computational intelligence vision sensing approach to estimate nutrient content in wheat leaves by analyzing color features of the leaves images captured on field with various lighting conditions. We propose the development of deep sparse extreme learning machines (DSELM) fusion and genetic algorithm (GA) to normalize plant images as well as to reduce color variability due
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Multiple Quality Characteristics of Nanofluid/ Ultrasonic Atomization Minimum Quality Lubrication for Grinding Hardened Mold Steel IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Wei-Tai Huang, Wei-Shu Liu, Jinn-Tsong Tsai, Jyh-Horng Chou
The purpose of this paper is to make a nanofluid/ultrasonic atomization minimum quality lubrication (MQL) system, and to explore the effectiveness of the system used in the grinding process of SKD11 mold steel with heat treatment. Besides, a set of optimized multiple quality characteristics of grinding parameter combinations is obtained by using the Taguchi method and the fuzzy inference system. The
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Dual-Objective Program and Scatter Search for the Optimization of Disassembly Sequences Subject to Multiresource Constraints IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Xiwang Guo, Shixin Liu, MengChu Zhou, Guangdong Tian
The effective dismantling of discarded products regardless being used or not is critically important to their reuse, recovery, and recycling. However, the existing product disassembly planning methods pay little or no attention to resource constraints, e.g., limited numbers of disassembly operators and tools. Thus, a resulting plan when being executed may be ineffective in practice. This paper presents
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Analytical Approach to Estimate Efficiency of Series Machines in Production Lines IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Chao-Bo Yan, Qianchuan Zhao
Series machines, i.e., machines (which are usually unreliable) arranged in series with no buffering, are pervasive in production systems. In the analysis, design, and optimization of the series-machine system, the efficiency analysis is one of the most fundamental issues. There are not a lot of researches analyzing the efficiency of the series-machine system, and almost all of them assume that the
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Optimization of Web Service-Based Control System for Balance Between Network Traffic and Delay IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Chen Hou, Qianchuan Zhao
In Internet of Things systems, Web services enable interoperable machine-to-machine communication over networks. Polling mechanism is a practical way for a Web service-based control system to enable its actuator to respond to its controller under uncertain environments where the actuator does not know exactly when the controller updates its command. Fast response demands a high polling frequency (polling
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Modeling and Performance Diagnostics of Composite Work Cells With Gantries IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Xinyan Ou, Qing Chang, Jing Zou, Jorge Arinez, Guoxian Xiao
In this paper, the performance of a typical composite work cell structure that includes multiple machines and a material handling gantry is studied. A mathematic model is established to analyze the performance of such gantry systems. Due to the unique features of the gantry system, cycle time and waiting time of the gantry and machines are discussed and formulated based on two basic scenarios. To measure
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Real-Time Visual Tracking of Dynamic Surgical Suture Threads IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-07-01 Russell C. Jackson, Rick Yuan, Der-Lin Chow, Wyatt S. Newman, M. Cenk Cavusoglu
In order to realize many of the potential benefits associated with robotically assisted minimally invasive surgery, the robot must be more than a remote controlled device. Currently, using a surgical robot can be challenging, fatiguing, and time-consuming. Teaching the robot to actively assist surgical tasks, such as suturing, has the potential to vastly improve both the patient’s outlook and the surgeon’s
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Corrections to ''Analysis on Energy Efficient Switching of Machine Tool with Stochastic Arrivals and Buffer Information'' IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-04-01 Nicla Frigerio, Andrea Matta
One of the measures for saving energy is the implementation of control strategies that reduce energy consumption during the machine idle periods. This paper proposes a framework that integrates different control policies for switching the machine off when the production is not critical, and on when the part flow has to be resumed. A general policy is formalized by modeling explicitly the power consumed
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Scheduling Single-Armed Cluster Tools With Chamber Cleaning Operations IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-04-01 Tae-Sun Yu, Hyun-Jung Kim, Tae-Eog Lee
As wafer circuit widths shrink down, wafer fabrication processes require stringent quality control. Therefore, fabs recently tend to clean a chamber after processing each wafer, in order to remove chemical residuals within the chamber. Such chamber cleaning, called purge operation, increases scheduling complexity in robotized cluster tools. In this paper, we examine scheduling problems of single-armed
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Corrections to ''Energy Efficient Control Strategies for Machine Tools with Stochastic Arrivals'' IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-04-01 Nicla Frigerio, Andrea Matta
Energy saving in production plants is becoming more and more relevant due to the pressure from governments to contain the environmental impact of manufacturing and from companies to reduce costs. One of the measures for saving energy is the implementation of control strategies that reduce energy consumption during the machine idle periods. This paper proposes a framework that integrates different control
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Scheduling Cluster Tools in Semiconductor Manufacturing: Recent Advances and Challenges IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-04-01 ChunRong Pan, MengChu Zhou, Yan Qiao, NaiQi Wu
Cluster tools are automated robotic manufacturing systems containing multiple computer-controlled process modules. They have been increasingly used for wafer fabrication. This paper reviews the modeling and scheduling methods for cluster tools with both nonrevisiting and revisiting processes. For nonrevisiting processes, we focus on the modeling and scheduling problems of cluster tools with different
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A Fixture Design Retrieving Method Based on Constrained Maximum Common Subgraph IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-04-01 Chen Luo, Xin Wang, Chun Su, Zhonghua Ni
Fixtures are widely used in almost any modern manufacturing. They add directly to the cost base, impact manufacturing firms’ responsiveness and contribute to the overall product quality. Computer-aided intelligent fixture design was developed over the years to give a competitive edge to the manufacturing firms who are facing unprecedented competition and challenges. Among the techniques, case-based
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Toward Good Practices for Fine-Grained Maize Cultivar Identification With Filter-Specific Convolutional Activations IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-04-01 Hao Lu, Zhiguo Cao, Yang Xiao, Zhiwen Fang, Yanjun Zhu
Crop cultivar identification is an important aspect in agricultural systems. Traditional solutions involve excessive human interventions, which is labor-intensive and time-consuming. In addition, cultivar identification is a typical task of fine-grained visual categorization (FGVC). Compared with other common topics in FGVC, studies of this problem are somewhat lagging and limited. In this paper, targeting
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A System-Theoretic Method for Modeling, Analysis, and Improvement of Lung Cancer Diagnosis-to-Surgery Process IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-04-01 Hyo Kyung Lee, Feng Ju, Raymond U. Osarogiagbon, Nicholas Faris, Xinhua Yu, Fedoria Rugless, Shan Jiang, Jingshan Li
Early diagnosis and treatment of lung cancer are of significant importance. In this paper, a system-theoretic method is introduced to analyze the diagnosis-to-treatment process for lung cancer patients who receive surgical resections. The complex care delivery process is decomposed into a collection of serial processes, each consisting of combinations of various tests and procedures. Closed formulas
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Quality of Traffic Observability on Highways With Lagrangian Sensors IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-04-01 Sergio Contreras, Shaurya Agarwal, Pushkin Kachroo
Observability is essential to estimate the states of a system from sensor measurements. Observability indicates the sufficiency of the sensors for state estimation. In a highway traffic setting, using global positioning system-enabled smartphones as sensors sets this observability problem in the Lagrangian dynamics framework, in which the moving vehicle that follows the microscopic dynamics of the
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Imperfect Maintenance Policy Considering Positive and Negative Effects for Deteriorating Systems With Variation of Operating Conditions IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-04-01 Yunxia Chen, Wenjun Gong, Dan Xu, Rui Kang
This brief develops a degradation-based imperfect maintenance policy considering both positive effect and negative effect for a deteriorating system with variations of operating conditions. The proposed method improves the positive effect on the imperfect maintenance, which further considers the impact of resource on the distribution function of the positive effect after each maintenance process. The
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An Uncalibrated Visual Servo Method Based on Projective Homography IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-04-01 Zeyu Gong, Bo Tao, Hua Yang, Zhouping Yin, Han Ding
An uncalibrated visual servo method based on projective homography, denoted as Projective Homography based Uncalibrated Visual Servoing (PHUVS), is proposed in this paper, in which a novel task function based on the element of projective homography is devised to realize visual servo without a prior knowledge of the camera intrinsic parameters and hand-eye relationships. The main advantage of this method
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Web Service Recommendation With Reconstructed Profile From Mashup Descriptions IEEE Trans. Autom. Sci. Eng. (IF 5.9) Pub Date : 2018-04-01 Yang Zhong, Yushun Fan, Wei Tan, Jia Zhang
Web services are self-contained software components that support business process automation over the Internet, and mashup is a popular technique that creates value-added service compositions to fulfill complicated business requirements. For mashup developers, looking for desired component services from a sea of service candidates is often challenging. Therefore, web service recommendation has become