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共 1783 条记录，以下是251-260 订阅

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Automated Optical Inspection for Quality control in PCBA assembly lines: a case study for Point of Sale Devices Production Lines

Automated Optical Inspection for Quality Control in PCBA ass...

引用

Human-computer Interaction, Optimization and Robotic Applications (HORA), International Congress on

作者： Kerem Aras Syed Saad Saif Alessandro Giuseppi Vedat Coskun R&D Center Token Financial Technologies Istanbul Türkiye Dept. of Computer Control and Management of Rome La Sapienza Rome Italy Dept. of Software Engineering Istanbul Atlas University Istanbul Turkiye

ISBN: (数字)9798350394634

ISBN: (纸本)9798350394641

This paper reports on the design and development of a customized Automated Optical Inspection (AOI) solution aimed at detecting defects in a production line related to the correct mounting of integrated circuits. Contrary to most solutions avail- able on the market, the developed system relies on deep learning to be able to perform detailed real-time visual inspections of components without the need to compare the captured photos with any reference images/golden sample. The proposed solution was designed to also provide good generalization capabilities, accommodating visual changes in the environment and in the structure of the component being produced. A custom testing machine was built in order to perform real-time inferences and validate the simulation results in a real-world setting.

关键词： Visualization Production Optical fiber networks Optical imaging Adaptive optics Real-time systems automatic optical inspection

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PoRF: Proof-of-Reputation-based Consensus Scheme for Fair Transaction Ordering 13

PoRF: Proof-of-Reputation-based Consensus Scheme for Fair Tr...

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13th International Conference on Electronics, computers and Artificial Intelligence, ECAI 2021

作者： Shyamsukha, Sidharth Bhattacharya, Pronaya Patel, Farnazbanu Tanwar, Sudeep Gupta, Rajesh Pricop, Emil Nirma University Dept. of Computer Science and Engg. AhmedabadGujarat India Institute of Technology Nirma University Dept. of Computer Science and Engg. AhmedabadGujarat India Petroleum-Gas University of Ploiesti Automatic Control Comp. and Elect. Dept Romania

ISBN: (纸本)9781665425346

Blockchain (BC)-driven applications ensure trust and transparency among multiple stakeholders through different consensus mechanisms. In consensus mechanisms, a dishonest node (or application), might collude with peer nodes, or miners, to prioritize its transactions over other node transactions, thereby reducing its latency and improving its quality-of-service (QoS). To address the above limitation, this paper proposes a consensus scheme, PoRF, based on a reputation-based consensus scheme that allows fair and random transaction selection. The scheme proposes that a sharded BC is considered, managed through shard managers (SM), to address latency and bandwidth issues. A reputation coefficient score is generated, and a reward-penalty setup is considered for nodes based on honest, or dishonest transaction proposals. Based on the reward-penalty outcome, the reputation score for nodes is modified. The scheme is compared with fixed transaction ordering scheme, Helix scheme, and practical byzantine fault tolerance (PBFT) consensus for transaction fairness, transaction time, and epochs required for consensus formations. The scheme outperforms the considered schemes for the considered parameters. For example, for 50% dishonest nodes, an improvement of 70 % is recorded against a fixed transaction scheme, and at 4000 nodes, the proposed scheme takes 130 milliseconds (ms) less for the execution of transactions. For consensus formation, at 250 nodes, PBFT takes 167 epochs for consensus, compared to 24 epochs in the proposed scheme, which indicates the scheme's viability in real-world setups. © 2021 IEEE.

关键词： Blockchain

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Client Selection Based on Channel Capacity for Federated Learning Under Wireless Channels

Client Selection Based on Channel Capacity for Federated Lea...

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Asia-Pacific Conference on Communications

作者： Satoshi Yamazaki Takuma Furuki Dept. of Control and Computer Engineering National Institute of Technology Numazu College Numazu Japan Systems Innovation Faculty of Engineering Tokyo University Tokyo Japan

This paper proposes a user selection scheme for federated learning (FL) over wireless networks to reduce communication time based on channel capacity. In particular, the edge server calculates the Shannon channel capacity of each client for each round, and clients with a certain threshold capacity are randomly selected to participate in FL. We show that the convergence time of the proposed scheme outperformed that of the conventional scheme through computer simulation based on an image processing task under a wireless channel with pass-loss, shadowing, and Rician flat-fading. Moreover, the superiority of FL to centralized learning (CL) regarding total time is demonstrated theoretically and validated through computer simulation.

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High-Speed Operational Amplifier with a Differentiating Circuit of Transient Correction

High-Speed Operational Amplifier with a Differentiating Circ...

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IEEE NW Russia Young Researchers in Electrical and Electronic engineering Conference (EIConRusNW)

作者： Alexey E. Titov Irina A. Alferova Dmitry V. Kuznetsov dept. of Automatic Control Systems Southern Federal University Rostov-on-Don Russia dept. of Scientific Research Don State Technical University Rostov-on-Don Russia dept. of Cyber Security of Information Systems Don State Technical University Rostov-on-Don Russia dept. of Information Systems and Radio Engineering Don State Technical University Rostov-on-Don Russia

The relevance of the present research is related to the search for promising ideas for increasing the maximum slew rate of the output voltage ($\text{SR}_{\text{M}}$) of new-generation operational amplifiers (OpAmps). Proposed circuit techniques that provide (with simultaneous use) an increase in $\text{SR}_{\text{M}}$ by more than 2 orders of magnitude. Such high-speed operational amplifiers are in demand today for application in drivers of high-speed ADCs (AD9208, AD9691, etc.), and as active elements in circuits of analog-to-discrete filters on switched capacitors. It is proposed to introduce (according to the developed rules) a nonlinear differentiating RC-circuit realized based on an additional differential stage and a differentiating capacitor of small capacitance into the classical OpAmps with one integrating correction capacitance. Such circuit "additives" practically do not change the low-signal dynamic and static parameters of the OpAmp, and at a large signal during the transient front, when the input stage enters the nonlinear mode, form a large current overcharge of the integrating correction capacitor. Consequently, the $\text{SR}_{\text{M}}$ of the OpAmp is significantly increased.

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Stratification of metastatic melanoma patients based on mutational signatures

Stratification of metastatic melanoma patients based on muta...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Caterina Alfano Lorenzo Farina Manuela Petti PhD Program in Network Oncology and Precision Medicine Sapienza University of Rome Rome Italy Dept. of Computer Control and Management Engineering PhD Program in Network Oncology and Precision Medicine Sapienza University of Rome Rome Italy Dept. of Computer Control and Management Engineering Sapienza University of Rome Rome Italy

Genetic instability is one of the hallmarks of cancer, however mutations can occur for different causes and induce different effects. Mutational signatures are characteristic patterns of somatic mutations in cancer genomes, reflecting the underlying mutational processes. A mutational signature can be determined by studying the kind of mutations a patient has acquired during their life: patient stratification based on mutational signatures has become more and more useful in genomic studies, given its possible clinical implications. In this work we focused on Single Base Substitution (SBS) signatures to study a cohort of 115 metastatic melanoma patients. We inferred and identified two mutational signatures characterizing the patients. Based on these signatures we divided patients into two group: the bigger group was characterized by a signature associated with exposure to ultraviolet light, while the smaller group resulted to be mostly composed of patients which did not respond to immunotherapy (anti-PD1) and that presented a low mutational count. More importantly this second group showed a significantly worse survival outcome. The use of mutational signatures is clearly a powerful tool to identify disease sub-types that have a clinical relevance, however we believe that this topic needs further investigation focused on the characterization of patient subtypes with a multi-omics based approach.

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Incorporating the COM-B Model for Behavior Change into an Agent-Based Model of Smoking Behaviors: An Object-Oriented Design

Incorporating the COM-B Model for Behavior Change into an Ag...

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Simulation Winter Conference

作者： David Tian Hazel Y. Squires Charlotte Buckley Duncan Gillespie Harry Tattan-Birch Lion Shahab Robert West Alan Brennan Jamie Brown Robin C. Purshouse Dept. of Automatic Control and Systems Engineering University of Sheffield UK Sheffield Centre for Health and Related Research School of Medicine and Population Health University of Sheffield UK Institute of Epidemiology and Health University College London UK

ISBN: (数字)9798331534202

ISBN: (纸本)9798331534219

Modeling trajectories in cigarette smoking prevalence, initiation and quitting for populations and subgroups of populations is important for policy planning and evaluation. This paper proposes an agent-based model (ABM) design for simulating the smoking behaviors of a population using the Capability, Opportunity, Motivation - Behavior (COM-B) model. Capability, Opportunity and Motivation are modeled as latent composite attributes which are composed of observable factors associated with smoking behaviors. Three forms of the COM-B model are proposed to explain the transitions between smoking behaviors: initiating regular smoking uptake, making a quit attempt and quitting successfully. The ABM design follows object-oriented principles and extends an existing generic software architecture for mechanism-based modeling. The potential of the model to assess the impact of smoking policies is illustrated and discussed.

关键词： Software architecture Object oriented modeling Trajectory Planning

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Zero-Load: A Zero Touch Network based router management scheme underlying 6G-IoT ecosystems

Zero-Load: A Zero Touch Network based router management sche...

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International Conference on Electronics, computers and Artificial Intelligence (ECAI)

作者： Pronaya Bhattacharya Anwesha Mukherjee Sudeep Tanwar Emil Pricop Dept. of Computer Science and Engg. School of Eng. and Tech. Amity University Kolkata India Dept. of Computer Science Mahishadal Raj College Mahishadal West Bengal India Dept. of Computer Science and Engg. Inst. of Tech. Nirma University Ahmedabad India Automatic Control Comp. & Elect. Dept. Petroleum-Gas University of Ploiesti Ploiesti Romania

The rising data volumes force significant bottlenecks on the 6G for IoT (6G-IoT) network management functions, which limits the control, flexibility, and interoperability among devices, protocols, and end applications. Solutions like software-defined networking (SDN), and network function virtualization (NFV) are proposed with 6G, but the core management operations are still manual. Thus, to automatically upscale these 6G-IoT networks at reduced cost orchestration complexity, zero-touch networks (ZTN) are proposed. ZTN in 6G-IoT allows a high degree of automation and seamless integration of services. The article proposes a scheme, Zero-Load, that integrates ZTN at the core routing functionality of the 6G-IoT applications. We present a load balancing and traffic classification scheme through the ZTN networking stack for core routers. The ZTN router configuration fabric connects applications with the core services. Further, we present a Gaussian kernel-based support vector machine (SVM) classifier at the ZTN automation layer, which classifies the normal traffic and attack traffic. The proposed work is compared for parameters like mean time to response (MTTR), and resolution latency against baseline SDN and NFV schemes. Using ZTN, an average improvement of 32.45% is obtained in MTTR, and 87.89% in resolution latency (against a query). Using the Gaussian RBF kernel, an accuracy of 0.9914 is reported. These results indicate that ZTN-based management paves the way toward a more dense and intelligent 6G-IoT network.

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Choice of the Parameters of an EMI Monitoring System for an AC Traction Network

Choice of the Parameters of an EMI Monitoring System for an ...

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IEEE Global Electromagnetic Compatibility Conference (GEMCCON)

作者： Volodymyr Havryliuk Regis Nibaruta Dept. of automatic and telecommunication Ukrainian State University of Science and Technologies Dnipro Ukraine Faculty of Electrical Engineering Mathematics & Computer Science (EEMCS) University of Twente Enschede Netherlands

The problem considered in the paper is related to the formulation of criteria for choice of the parameters of the electromagnetic interference monitoring system for AC traction network in accordance with the requireme... 详细信息

关键词： Electromagnetic interference Harmonic analysis Electromagnetic compatibility Electromagnetics Monitoring Standards

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Distributed Event-Triggered Adaptive Cooperative Circumnavigation control of Networked Unmanned Aerial Vehicles

Distributed Event-Triggered Adaptive Cooperative Circumnavig...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Jawhar Ghommam Raouf Fareh Ibrahim Al Naimi Department of Electrical and Computer Engineering College of Engineering Sultan Qaboos University Laboratory of Control Energy Management ENIS Tunisa Electrical Engineering Dept. University of Sharjah UAE

In this paper, the objective for a group of unmanned aerial vehicle agents (UAVs) to achieve three dimensional circumnavigation around a moving target which information is made available to all agents in the group. The cooperative circumnavigation is to drive the UAVs to orbit around the target according to a given elliptical desired spatial formation. Due to the thrust limitation needed to fly the drone, existing cyclic pursuit algorithms cannot be extended directly to achieve this objective. Thus the proposed algorithm is worked out to take into account this constraint in order to achieve such objective. The drones are subject to unknown external disturbance, also the masses of those agent drones are assumed to be unknown. Furthermore, the communication cost can be decreased and the Zeno behavior is shown to be excluded. The proposed controller guarantees the bounded control effort irrespective of the external disturbance and model uncertainties of the drone. Numerical simulations are conducted to illustrate the efficacy of the approach.

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Xception CNN-Ensemble Learning Based Facial Emotion Recognition

Xception CNN-Ensemble Learning Based Facial Emotion Recognit...

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International Conference on Computing Communication control and Automation (ICCUBEA)

作者： Supriya Shirsath Vaishali Vikhe Pratap Vikhe Dept. of Computer Engineering Pravara Rural Engineering College Ahmednagar India Dept. of Instrumentation & Control Engineering Pravara Rural Engineering College Ahmednagar India

ISBN: (纸本)9781665484527

Emotions in human is an effective medium to study the mindset of a person. Since, expression on the face of human is significant approach to understand the condition and communicate with him to release the pressure or stress of person. The emotions and behavior have a strong relationship and is noteworthy in non-verbal form of communication. The advancement in medical science and use of image processing tools like Artificial Intelligence (AI) and Machine Learning (ML), can be helpful to recognize emotion, detect stress and depression level of a person. Thus, in this research work emotion recognition system is developed using Convolution Neural Networks (CNNs) with increased dept. and width. CNNs have been shown to enhance prediction accuracy. In terms of proper emotion categorization and accurate prediction, the suggested ensemble technique is effective. In this paper Xception CNN architecture is proposed for accurate facial emotions prediction along with an ensemble model, using Max Voting ensemble technique, mainly contributes in accurate classification. In proposed technique trained CNN models were loaded and for each trained model prediction probabilities were generated. Furthermore, it is then used for Max Voting to generate final emotion prediction. The CNN models are trained and evaluated on FER-2013 dataset.

关键词： Training Emotion recognition Computational modeling Face recognition Anxiety disorders Neural networks Machine learning

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