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检索条件"主题词=software algorithms"

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Digitization of an Analog Kymograph

Digitization of an Analog Kymograph

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International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)

作者： Sadman Uddin Ahmed All Mehedi Saqlain Mahmud Hasan Mredul Mirza Alimullah Atiqur Rahman Md Ashraful Alam Department of Electrical and Computer Engineering North South University Dhaka Bangladesh Department of Pharmaceutical Sciences North South University Dhaka Bangladesh

ISBN: (数字)9798350388282

ISBN: (纸本)9798350388299

Biomedical research has been altered by the digitization of experimental setups, such as the organ bath and kymograph, by overcoming the drawbacks of conventional approaches. Potential inaccuracies and limitations in data collecting and analysis have been caused by manual measurements and subjective interpretations. The goal of this experiment is to create a dependable, user-friendly digital system that combines an accelerometer, an organ bath, and a kymograph. Real-time data capture, automatic recording, and enhanced visualization capabilities can all be accomplished by observing and analyzing mechanical movements. Accelerometer integration automates data collection, improving accuracy and productivity. Digitization has made it possible to use sophisticated visualization techniques that provide accurate and thorough depictions of physiological changes. algorithms and software technologies allow for deeper insights into underlying processes. The precision, effectiveness, and dependability of physiological research have all significantly improved with the integration of accelerometers into experimental setups. For continued development and use of digitized systems, however, issues with accelerometer measurements, setup integration, and protocol standardization must be resolved.

关键词： Accelerometers Accuracy Digital systems software algorithms Data visualization Biological systems Standardization

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routeNow: Ensuring Least Hop Routing towards SDIoT based Backup Hospital Networks

routeNow: Ensuring Least Hop Routing towards SDIoT based Bac...

引用

IEEE Conference on Global Communications (GLOBECOM)

作者： Kounteya Sarkar Sudip Misra Mayank Sonu Department of Computer Science and Engineering IIT Kharagpur India Department of Electronics and Electrical Communication Engineering IIT Kharagpur India

ISBN: (数字)9798350351255

ISBN: (纸本)9798350351262

This work proposes routeNow, a routing algorithm designed for wireless software Defined Internet of Things by dynamic path relaxation based on real-time heuristic that always gives the best least hop path. This is aimed towards providing an alternative backup network for a smart hospital that functions independently on the failure of the primary hospital network. Given a pair of source and destination nodes, a central controller with a global network view first calculates a minimum hop path greedily by minimizing the remaining distance to destination. Hence, the path so found is relaxed dynamically by substituting certain links with other links keeping the hop count constant if a new path is found with a lesser latency than the previous one. For this, the controller maintains a matrix containing real-time delay between neighboring IoT nodes given the current network state and whose values are periodically refreshed using a heuristic function based on actual delay measurements. This enables the controller to dynamically modify routing paths. Simulation analysis of routeNow shows that it formulates routing paths with significant less time even with large networks and by always maintaining a route with least hops, on average a least latency path is also ensured.

关键词： Wireless communication Hospitals Heuristic algorithms software algorithms Metaheuristics Routing Prediction algorithms Real-time systems software Delays

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algorithms for Static and Dynamic Placement of Network Administrators in SpaceFibre Networks with Dynamic Reconfiguration

Algorithms for Static and Dynamic Placement of Network Admin...

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Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)

作者： Elena Suvorova Saint-Petersburg State University of Aerospace Instrumentation Saint Petersburg Russia

ISBN: (数字)9798350364989

ISBN: (纸本)9798350364996

This article discusses the problem of placing administrative nodes in networks based on the SpaceFibre standard, in which dynamic reconfiguration is necessary due to possible failures, changes in the mode of operation. The existing algorithms of static and dynamic placement of administrators in software defined networks (SDN) used in High Performance Computing (HPC) systems, their features and limitations are considered. algorithms for networks based on the SpaceFibre standard are proposed, and the characteristics achievable with their use are evaluated.

关键词： Protocols Heuristic algorithms High performance computing software algorithms Automata Quality of service Propagation losses

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Development of High-Performance DSP algorithms on the European Rad-Hard NG-ULTRA SoC FPGA

Development of High-Performance DSP Algorithms on the Europe...

引用

IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： Vasileios Leon Anastasios Xynos Dimitrios Soudris George Lentaris Ruben Domingo Arturo Perez David Gonzalez-Arjona Isabelle Conway David Merodio Codinachs National Technical University of Athens School of Electrical and Computer Engineering Athens Greece Department of Informatics and Computer Engineering University of West Attica Athens Greece GMV Aerospace and Defence SAU Flight Segment and Robotics Business Unit Madrid Spain European Space Agency European Space Research and Technology Centre Noordwijk Netherlands

ISBN: (数字)9798350377200

ISBN: (纸本)9798350377217

The emergence of demanding space applications has modified the traditional landscape of computing systems in space. When reliability is a first-class concern, in addition to enhanced performance-per-Watt, radiation-hardened FPGAs are favored. In this context, the current paper evaluates the first European radiation-hardened SoC FPGA, i.e., NanoXplore's NG-ULTRA, for accelerating high-performance DSP algorithms from space applications. The proposed development & testing methodologies provide efficient implementations, while they also aim to test the new NG-ULTRA hardware and its associated software tools. The results show that NG-ULTRA achieves competitive resource utilization and performance, constituting it as a very promising device for space missions, especially for Europe.

关键词： Performance evaluation Systematics Space missions software algorithms Europe Resource management Reliability software tools Field programmable gate arrays Testing

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Leveraging Prefix Structure to Detect Volumetric DDoS Attack Signatures with Programmable Switches

Leveraging Prefix Structure to Detect Volumetric DDoS Attack...

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IEEE Symposium on Security and Privacy

作者： Chris Misa Ramakrishnan Durairajan Arpit Gupta Reza Rejaie Walter Willinger University of Oregon UCSB NIKSUN Inc.

ISBN: (数字)9798350331301

ISBN: (纸本)9798350331318

As increasingly complex and dynamic volumetric DDoS attacks continue to wreak havoc on edge networks, two recent developments promise to bolster DDoS defense at the edge. First, programmable switches have emerged as promising means for achieving scalable and cost-effective attack signature detection. However, their practical application in edge networks remains a challenging open problem. Second, machine learning (ML)-based solutions have demonstrated potential in accurately detecting attack signatures based on per-flow traffic features. Yet, their inability to effectively scale to the traffic volumes and number of flows in actual production edge networks has largely excluded them from practical *** this paper, we introduce ZAPDOS, a novel approach to accurately, quickly, and scalably detect volumetric DDoS attack signatures at the source prefix level. ZAPDOS is the first to utilize a key characteristic of the observed structure of measured attack and benign source prefixes (i.e., a pronounced cluster-within-cluster property) and effectively apply it in practice against modern attacks. ZAPDOS operates by monitoring aggregate prefix-level features in switch hardware, employing a learning model to identify prefixes suspected of containing attack sources, and using several innovative algorithmic methods to pinpoint attack sources efficiently. We have built a hardware prototype of ZAPDOS and a packet-level software simulator which achieve comparable accuracy results. Since existing datasets are inadequate for training and evaluating prefix-level models, we have developed a new data-fusion methodology for training and evaluating ZAPDOS. We use our prototype and simulator to show that ZAPDOS can detect volumetric DDoS attack signatures with orders of magnitude lower error rates than state-of-the-art under comparable monitoring resource budgets and for a range of different attack scenarios.

关键词： Training Image edge detection Volume measurement software algorithms Prototypes Production Denial-of-service attack

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Chip Surface Character Detection System Based on Machine Vision

Chip Surface Character Detection System Based on Machine Vis...

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Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI), IEEE International Conference on

作者： Cheng Liao Chunlian Zhan Weiheng He Han Gao Peisong Zhou School of Optics and Electronic Technology China Jiliang University Hang Zhou China Haining Academy of Integrated Circuit and Advanced Manufacturing Jia Xing China

ISBN: (数字)9798350378542

ISBN: (纸本)9798350378559

A machine vision based chip surface character detection system has been designed to address the defects caused by characters on the chip surface in actual production. The system includes an image acquisition device and software processing algorithms. Firstly, extract the region of interest (ROI) of the chip character by inputting a template image. Then, the template character image is segmented into individual characters using the connected domain labeling method, and a template character library is established. Secondly, based on the template matching method, obtain the best matching position coordinates and extract the geometric features of the characters. Finally, characters are detected based on the number of connected domains, area and perimeter features, Hu moment, centroid coordinates, and edge contours. The experimental results show that the method used can effectively segment characters affected by defects and accurately detect the presence of defects on the chip surface characters.

关键词： software algorithms Object segmentation Production Feature extraction software Libraries Labeling Surface treatment Defect detection Intelligent control

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DC Optimal Power Flow in Unit Commitment Using Quantum Computing: An ADMM Approach

DC Optimal Power Flow in Unit Commitment Using Quantum Compu...

引用

Annual North-American Power Symposium

作者： Madan Rana Magar Dilip Pandit Duong Nguyen Nga Nguyen Electrical Engineering and Computer Science University of Wyoming Laramie WY

ISBN: (数字)9798331521035

ISBN: (纸本)9798331521042

This paper introduces an approach to solve unit commitment-based DC optimal power flow using the quantum-based alternating direction method of multipliers optimizer. The substantial interconnection of current generation and loads and the widespread incorporation of renewable energy have significantly altered and increased the complexity of the grid. As a result, efficient planning and operation of the power grid have become central focuses. This paper proposes an advanced method to solve DC-optimal power flow via quantum heuristic approaches leveraging the power of both quantum and classical computing. This is achieved by splitting the procedure to decompose a mixed binary quadratic problem into a quadratic unconstrained binary optimization sub-problem which is solved using a quantum approximate optimization algorithm. Following this, a continuous convex-constrained sub-problem is solved with a classical optimization solver. Within the DC-OPF, the startup cost and shutdown cost of each generator are incorporated in addition to the general cost function with the generator's cost coefficients. The DC-OPF is solved using the IBM Qiskit software development kit on an IEEE-14 bus system. The results obtained are then validated with the results obtained from classical methods using MATPOWER.

关键词： Renewable energy sources Quantum computing Costs software algorithms Approximation algorithms Generators Planning Optimization Load flow software development management

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Learning to Explore Indoor Environments using Autonomous Micro Aerial Vehicles

Learning to Explore Indoor Environments using Autonomous Mic...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Yuezhan Tao Eran Iceland Beiming Li Elchanan Zwecher Uri Heinemann Avraham Cohen Amir Avni Oren Gal Ariel Barel Vijay Kumar GRASP Laboratory University of Pennsylvania Philadelphia PA USA Hebrew University of Jerusalem Jerusalem Israel Technion - Israel Institute of Technology Haifa Israel

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

In this paper, we address the challenge of exploring unknown indoor environments using autonomous aerial robots with Size Weight and Power (SWaP) constraints. The SWaP constraints induce limits on mission time requiring efficiency in exploration. We present a novel exploration framework that uses Deep Learning (DL) to predict the most likely indoor map given the previous observations, and Deep Reinforcement Learning (DRL) for exploration, designed to run on modern SWaP constraints neural processors. The DL-based map predictor provides a prediction of the occupancy of the unseen environment while the DRL-based planner determines the best navigation goals that can be safely reached to provide the most information. The two modules are tightly coupled and run onboard allowing the vehicle to safely map an unknown environment. Extensive experimental and simulation results show that our approach surpasses state-of-the-art methods by 50-60% in efficiency, which we measure by the fraction of the explored space as a function of the trajectory length.

关键词： Program processors Simulation software algorithms Full stack Robot sensing systems Indoor environment Space exploration

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Mutation Testing Reinvented: How Artificial Intelligence Complements Classic Methods

Mutation Testing Reinvented: How Artificial Intelligence Com...

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International Conference on Computer Science and Engineering (UBMK)

作者： Serhat Uzunbayir Kaan Kurtel Department of Software Engineering Izmir University of Economics Izmir Turkiye

ISBN: (数字)9798350365887

ISBN: (纸本)9798350365894

Mutation testing is a widely accepted method for assessing the effectiveness of software test suites. It focuses on evaluating how well a test suite can identify deliberately introduced faults, known as mutations, in the code, helping to reveal potential vulnerabilities. Traditional mutation testing approaches, however, often encounter significant issues such as high computational demands and limited fault detection range. Recently, there has been an increasing interest in integrating artificial intelligence (AI) into mutation testing to address these challenges. AI can enhance mutation testing by incorporating intelligent algorithms and automating various tasks. It can analyze the codebase, identify key program components, and strategically select mutation operators that are more likely to detect faults. This paper explores the fundamental concepts of mutation testing, relevant research, and innovations in combining AI with mutation testing, focusing on the challenges and the most effective models currently available. By integrating AI, mutation testing has seen improvements in both fault detection and computational efficiency.

关键词： Fault diagnosis software testing Technological innovation Fault detection software algorithms software systems Computational efficiency software reliability Artificial intelligence Testing

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Partial Shading Effect Minimization in a PV Array using Shading Behaviour based Adaptive Reconfiguration Algorithm

Partial Shading Effect Minimization in a PV Array using Shad...

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Intelligent Computing and Sustainable Innovations in Technology (IC-SIT), International Conference on

作者： Pankaj Verma Gurinder Singh Abinash Singh University Centre for Research and Development Chandigarh University Mohali Punjab India Electronics and Communication Engineering Chandigarh University Mohali Punjab India

ISBN: (数字)9798350369175

ISBN: (纸本)9798350369182

During the partial shading in a PV array, the modules of the same array receive a different level of irradiance, this phenomenon is known as the partial shading. Partial shading deeply effects the maximum available power of PVs, moreover, this results in the multiple maximums on the power versus voltage curves. The partial shading on PV array can be dispersed by physically relocating or rearranging the arrays of the modules. In this paper, the partial shading pattern incident on the PV array is investigated to develop the physical reconfiguration algorithm for PV modules. In this algorithm, the irradiance value of each module is compared to locate the partially shaded modules, further these modules are arranged in one column to increase the power output. The shading behaviour based adaptive reconfiguration algorithm (SBARA) is applied on a $3 \times 3$ array configuration and is tested for three different case scenarios. Three different partial shading patterns are simulated on the array using the MATLAB software, SBARA is called in each case to reconfigure the modules, the results are obtained by analyzing the power vs voltage curve of PV array.

关键词： Technological innovation software packages software algorithms Adaptive arrays Voltage Minimization MATLAB Power generation

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