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Hardware composition with hardware flowcharts and process algebras

Hardware composition with hardware flowcharts and process al...

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IEEE international conference on engineering of Complex Computer Systems

作者： J.-Y.J. Lu Jang Dae Kim Shiu-Kai Chin Nat. Semicond. Corp. Santa Clara CA USA Electrical Engineering & Computer Science Syracuse University Syracuse NY USA

Algorithmic state machine (ASM) descriptions or hardware flowcharts have been used successfully to describe and verify large systems like the IBM 3081. Hardware flowcharts are intuitively appealing in their specification of control flow and data path operations. Nevertheless, previous mechanizations of hardware flowcharts lacked a formal semantics which prevented a rigorous analysis of implementations refined from ASM descriptions, and the ability to equate composed ASM descriptions to purely behavioral descriptions. To address these concerns, we describe an algorithmic register transfer language which has a formal semantics along with an algebra which is used to reason about composed ASM descriptions.

关键词： Hardware Flowcharts Algebra Instruction sets Transfer functions Circuit simulation Computational modeling Discrete event simulation Algorithm design and analysis Digital systems

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Roughness Analysis of Stainless Steel Bearing Using Computer Vision

Roughness Analysis of Stainless Steel Bearing Using Computer...

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international conference on electrical, control and Instrumentation engineering (ICECIE)

作者： Shounak Das Arundhati Tarafdar Prabir Mondal Computer Science and Engineering Jadavpur University Kolkata India School of Computer Science Data Science cluster UPES University Dehradun India Computer Science and Engineering National Institute of Technology Patna India

ISBN: (数字)9798350380040

ISBN: (纸本)9798350380057

Current technology utilizes a sophisticated standard room measurement system to analyze the average roughness of Stainless Steel Bearing Surface. However, this process relies on random sampling at infrequent intervals, resulting in inefficiency and inadequate analysis of a large number of samples. To address this issue, we propose a solution using computer vision via laser scanning. the scanning process produces an amplified speckle pattern of the ring surface. this pattern is then analyzed to verify the number of edges that cross a predefined threshold and exhibit symmetrical patterns, particularly on smoothed ring surfaces. Remarkably, this system operates with a turnaround time of less than a second. Moreover, unlike the standard room setup, this technology can be seamlessly integrated directly into production/manufacturing units.

关键词： Computer vision Instruments Measurement by laser beam Speckle Ring lasers Surface roughness Rough surfaces Steel Surface treatment Standards

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Adaptive Critic Learning for Optimized Tracking control of an Unmanned Surface Vehicle with Guaranteed Performance

Adaptive Critic Learning for Optimized Tracking Control of a...

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international conference on Electronic engineering and Informatics (EEI)

作者： Lin Chen Shi-Lu Dai School of Automation Science and Engineering South China University of Technology Guangzhou China

ISBN: (数字)9798350353594

ISBN: (纸本)9798350353600

this paper develops a critic-based optimal control strategy for an unmanned surface vehicle (USV). To address the constraint requirement on tracking errors, universal barrier function is incorporated with the optimal control scheme, such that the tracking errors satisfy the transient and steady-state performance. then, to obtain the optimal control law, a single-critic architecture is constructed to solve the Hamilton-Jacobi-Bellman (HJB) equation. Meanwhile, the basis function in the critic network is selected as Gaussian function. With the improved critic weight updating law, the proposed optimal control algorithm not only relaxes the persistence of excitation (PE) condition but also guarantees the uniformly ultimately boundedness (UUB) of critic network weight. Finally, simulation results validate the effectiveness the presented optimized control scheme.

关键词： Protocols Trajectory tracking Simulation Optimal control Mathematical models Trajectory Steady-state Transient analysis Informatics Autonomous vehicles

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Designing Compact Gabor Filter Banks for Efficient Texture Feature Extraction

Designing Compact Gabor Filter Banks for Efficient Texture F...

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international conference on control, automation, Robotics and Vision

作者： Weitao Li KeZhi Mao Hong Zhang Tianyou Chai Research Center of Automation Northeastern University Shenyang China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Department of Computing Science University of Alberta Edmonton Canada

ISBN: (纸本)9781424478149

Texture feature has been widely used in image segmentation, classification, retrieval and many others. Among various approaches to texture feature extraction, Gabor filtering has emerged as one of the most popular in recent years. Gabor filter-based texture feature extractor is in fact a Gabor filter bank defined by its parameters including frequencies, orientations and smoothing parameters of the Gaussian envelope. In the literature, these parameters are often set by trial and error, based on the experience of the user, and the Gabor filter banks thus designed are often over-sized. To address the problem mentioned above, we propose to design compact Gabor filter banks by incorporating filter selection in this study. We develop a new Mahalanobis separability measure-based supervised approach to address the need of texture feature extraction. the strengths of our methods are twofold. Firstly, the proposed method provides a systematic way for Gabor filter bank design to avoid manmade bias. Secondly, the compact filter banks thus designed overcomes the problem of redundant or insignificant/irrelevant filter banks, and this in turn leads to improved performance of texture classification. Experimental results on benchmark datasets demonstrate the effectiveness of our proposed approach.

关键词： Texture feature extraction Gabor filter bank design Mahalanobis separability Supervised selection approach

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Battery Refurbishment Technologies in Industry 4.0: A Review

Battery Refurbishment Technologies in Industry 4.0: A Review

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international conference on electrical, control and Instrumentation engineering (ICECIE)

作者： Nam Nguyen-Quang Khuong Nguyen-Vinh Radomír Goňo Ho Chi Minh City University of Technology Vietnam National University Ho Chi Minh City Ho Chi Minh City Vietnam School of Science Engineering and Technology RMIT University Ho Chi Minh City Vietnam Faculty of Electrical Engineering and Computer Science VSB Technical University of Ostrava Ostrava Czech Republic

ISBN: (数字)9798350380040

ISBN: (纸本)9798350380057

the increasing demand for batteries in various industries has resulted in the problem of battery waste. An industry 4.0 will need to tackle this kind of environmental problem. With the need for a more sustainable solution, battery refurbishment technologies have emerged as a way to reduce the environmental impact of battery waste, conserve resources, and save costs. In this review, we will discuss the existing battery refurbishment technologies in the world, including their advantages and disadvantages. the authors also discussed about their current battery refurbishment project with the help of artificial intelligence.

关键词： Industries Costs Reviews Instruments Environmental factors Batteries Fourth Industrial Revolution Artificial intelligence

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Greening 4-4,1-4 data center network: A greedy approach for finding an energy efficient sub-network

Greening 4-4,1-4 data center network: A greedy approach for ...

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IEEE international conference on Cloud computing Technology and science

作者： A. R. Ashok Kumar S. V. Rao Diganta Goswami Department of Computer Science and Engineering Indian Institute of Technology Guwahati

ISBN: (纸本)9781479940929

Data centers are overprovisioned to handle traffic surges. However, various studies of data center traffic regarded this upsurge as a rare event and shown that the resources of data center are underutilized. Hence, there is a need to conserve energy by providing control knobs that turn the resources of data center on/off according to the traffic condition. In this paper, we study the ability of 4-4, 1-4 data center network design for energy conservation. Given a set of current flows, we propose a greedy approach to find sub-network that can accommodate current set of flows and switch off rest of the network to conserve energy. We simulated the proposed method using network-simulator (NS3) and compared the performance with ElasticTree. the simulation results shown performance of 4-4, 1-4 design is better than ElasticTree in terms of energy conservation, packet delivery ratio and delay. As an extension, we also compared the support from routing protocols: source routing and location based routing, in designing energy conservation methods.

关键词： Data Center Networks (DCN) Routing IP Address Hierarchy Energy Conservation Green computing

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Modeling and Simulation for Artificial Seismic Waves Based on three-parameter Chirp Atoms

Modeling and Simulation for Artificial Seismic Waves Based o...

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Asian Simulation conference/the 6th international conference on system Simulation and Scientific computing

作者： YU Fengqin, CAO Jialin (School of Communication and control engineering, Southern Yangtze University, Wuxi, Jangsu, 214122 , P.R.China) School of Machine Electronic and automation, Shanghai University, Shanghai 200072, P.R.,China)

We used the sum of some of the three-parameters Chirp atoms as the model of the seismic data, that is, decomposed the seismic data into a series of Chirp atoms and obtained simultaneity the parameters of each Chirp atom. And then, selected some primary Chirp atoms to approach the artificial seismic waves. the simulation results have shown that the modeling and simulation for artificial seismic waves based on the Chirp atoms approximation is an ideal candidate for extracting the local time-frequency information from seismic recorder. the resulting frequency-dependent modulating more accurately reveals the non-stationary frequency characteristic of ground motion and the same time it also preserves the non-stationary intensity of the seismic data.

关键词： modeling and simulation artificial seismic waves three-parameter Chirp atom atom decomposition time-frequency analysis

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Autonomous landing system for aerial mobile robot cooperation

Autonomous landing system for aerial mobile robot cooperatio...

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international Symposium on Soft computing and Intelligent Systems (SCIS)

作者： Min-Fan Ricky Lee Shun-Feng Su Jie-Wei Eric Yeah Husan-Ming Huang Jonathan Chen Graduate Institute of Automation and Control National Taiwan University of Science and Technology Taipei Taiwan Department of Electrical Engineering University of California Los Angeles California USA

In vision-based autonomous landing, the accuracy of GPS signal and the efficiency of target tracking and detecting will affect the performance in autonomous landing system. this paper presents a method of cooperation among two aerial mobile robots at high altitude and low altitude for autonomous navigation and landing. Fully utilizing the extensive vision and high flexibility on the high-altitude aerial mobile robot to control the low-altitude aerial mobile robot to finish tracking and landing procedures. the flight controller achieves to track target and attitude control in real time. the flight controller using high level control which are fuzzy logic and neural network to give to low level control. the aerial mobile robots use the fuzzy logic control and neural network for positioning and maneuvering, and image-based visual servoing for tracking the low-altitude aerial mobile robot and landing target. By applying these methods, we have achieved a scalable and robust procedures for autonomous landing.

关键词： Mobile robots Target tracking Fuzzy logic Navigation Image edge detection Cameras Image color analysis

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Performance Boosting of Automatic Sun Following Panels Using Soft computing Technique

Performance Boosting of Automatic Sun Following Panels Using...

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international conference on Contemporary computing and Informatics (IC3I)

作者： Shubhashis Goswami Kaushal Kumar Santosh Kumar D. Anandhasilambarasan S. Kannimuthu V.K. Kolekar School of Engineering and Computer Dev Bhoomi Uttarakhand University Uttarakhand India Department of Mechanical Engineering School of Engineering & Technology K. R. Mangalam University Gurugram India Department of Computer Applications Invertis University Bareilly India Department of Computer Science Engineering Karpagam Academy of Higher Education Coimbatore India Department of Information Technology Karpagam College of Engineering Coimbatore India Computer Engineering Vishwakarma Institute of Information Technology Pune India

the optimizing for the sun committee's tilt position using soft computation is subject of research study. At particular inclination angles above a flat surface, distinct radiation types provide various amounts of exposure. Properly set, the degree of tilt additionally delivers greater electricity using the exact same screen. A research on optimizing the slant inclination was done. Initially a significant power improvement was made by using genetic codes to continuously modify the slant angle. Sunny tracking is crucial to improving overall gadget performance for many solar-powered generators, concentrators, and rectangular plates. Mechanism honor, a key component of process functioning, is basic scientific method to modeling the procedure that is controlled either to identify plant undiscovered characteristics. An Automated network based on artificial intelligence is presented in order to define and simulate a dual axis sunlight tracking system. Both alongside and despite the application of scaled variables, a clear proportionate integral then a liquid-based logical control mechanism was investigated and integrated within the photovoltaic function.

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A risk and Incidence Based Atrial Fibrillation Detection Scheme for wearable healthcare computing devices

A risk and Incidence Based Atrial Fibrillation Detection Sch...

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international conference on Pervasive computing Technologies for Healthcare, PervasiveHealth

作者： Redjem Bouhenguel Imad Mahgoub Department of Computer Electrical Engineering & Computer Science Florida Atlantic University Boca Raton Florida USA

Today small, battery-operated electrocardiograph devices, known as Ambulatory Event Monitors, are used to monitor the heart's rhythm and activity. these on-body healthcare devices typically require a long battery life and moreover efficient detection algorithms. they need the ability to automatically assess atrial fibrillation (A-Fib) risk, and detect the onset of A-Fib from EKG recordings for further clinical diagnosis and treatment. the focus of this paper is the design of a real-time early detection algorithm cascaded with an A-Fib risk assessment algorithm. We compare accuracy of machine learning schemes such as J48, Naïve Bayes, and Logistic Regression and choose the best algorithm to classify A-Fib from EKG medical data. though all three algorithms have similar accuracy, the Logistic Regression model is selected for its easy portability to mobile devices. A-Fib risk factor is used to determine a monitoring schedule where the detection algorithm is triggered by the age dependent A-Fib incidence rate inside a circadian prevalence window. the design may provide a great public health benefit by predicting A-Fib risk and detecting A-Fib in order to prevent strokes and heart attacks. It also shows promising results in helping meet the needs for energy efficient real-time A-Fib monitoring, detecting and reporting.

关键词： Medical services Telemetry Image edge detection

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