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Several evolutionary algorithms (EAs) have emerged in recent decades that mimic the behaviour and evolution of biological entities. EAs are widely used to solve single and multi-objective optimization engineering problems. EAs have also been applied to a variety of microwave components, antenna design, radar design, and wireless communications problems. These techniques, among others, include genetic algorithms (GAs), evolution strategies (ES), particle swarm optimization (PSO), differential evolution (DE), and ant colony optimization (ACO). In addition, new innovative algorithms that are not only biology-based but also physics-based or music-based are also emerging, as are hybrid combinations of EAs. The use of evolutionary algorithms is having an increasing impact on antenna design and wireless communications problems. EAs combined with numerical methods in electromagnetics have obtained significant and successful results. This book aims to present some of the emerging Eas and thei

Digital healthcare technologyInternational communications satellite systems conferenceAdvances in communications satellite systemsCommunications satellite systemsPatient centered digital healthcare technologyCentered digital healthcare technologyTraffic informationSignal processingFault detectionElectric machinesடிஜிட்டல் சுகாதாரம் தொழில்நுட்பம்சர்வதேச தகவல்தொடர்புகள் செயற்கைக்கோள் அமைப்புகள் மாநாடுபோக்குவரத்து தகவல்சமிக்ஞை ப்ரோஸெஸிஂக்தவறு கண்டறிதல்மின்சார இயந்திரங்கள்

Beyond Customary Energy and Cost Saving Advantages, both Hard and Soft Benefits Extend Immense Growth Opportunities in Building Analytics Market; Growth Trajectory projected at Stellar ~15% CAGR from 2021 - 2031

Beyond Customary Energy and Cost Saving Advantages, both Hard and Soft Benefits Extend Immense Growth Opportunities in Building Analytics Market; Growth Trajectory projected at Stellar ~15% CAGR from 2021 - 2031 - TMR - Requisites to monitor inside temperatures of modern buildings for comfort of occupants indirectly creates opportunities ALBANY, N.Y., May 11, 2021 /PRNewswire/ Building Analytics Market - Overview In times when technological advances in commercial buildings have hit a tipping point, analytics is what is everyone is interested in. In building spaces - from malls and residential buildings to hospitals and commercial high rises - building analytics provide specific advantages to different interest groups, provided it is known what to expect from the system.

United statesUnited kingdomSouth koreaRohit bhiseyKostenloser wertpapierhandelPointgrab incEnergycap incEnvironmental pty ltdEaton corporationLutron electronics coEnergy consumptionCarrier corporationTransparency market researchJohnson controls international plcCoppertree analytics incCrestron electronics inc

Deep learning method for fault detection of wind turbine converter by Cheng Xiao, Zuojun Liu et al

Abstract The converter is an important component in wind turbine power drive-train systems, and usually, it has a higher failure rate. Therefore, detecting the potential faults for prediction of its failure has become indispensable for condition-based maintenance and operation of wind turbines. This paper presents an approach to wind turbine converter fault detection using convolutional neural network models which are developed by using wind turbine Supervisory Control and Data Acquisition (SCADA) system data. The approach starts with the selection of fault indicator variables, and then the fault indicator variables data are extracted from a wind turbine SCADA system. Using the data, radar charts are generated, and the convolutional neural network models are applied to feature extraction from the radar charts and characteristic analysis of the feature for fault detection. Based on the analysis of the Octave Convolution (OctConv) network structure, an improved AOctConv (Attention Oct

Supervisory controlData acquisitionOctave convolutionAttention octave convolutionAoc resnet50 networkDeep learningFault detectionRadar chartமேற்பார்வை கட்டுப்பாடுதகவல்கள் கையகப்படுத்தல்

Receiving SpaceX Falcon 9 Telemetry with a HackRF and 1 2m Satellite Dish

Receiving SpaceX Falcon 9 Telemetry with a HackRF and 1 2m Satellite Dish
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Amkor Factory Intelligence Enables Industry 4 0 – Consumer Electronics Net

1 month ago TEMPE, Ariz.–(BUSINESS WIRE)–Amkor Technology, Inc. (Nasdaq: AMKR), a leader in advanced packaging technologies that support high-growth markets, including smartphones and 5G, advanced automotive systems, high-performance computing and consumer IoT, recently unveiled new measures that help the company achieve Industry 4.0 initiatives, extending its leadership in quality and efficiency excellence. Leveraging artificial intelligence, machine learning and interconnected systems, Industry 4.0 challenges companies to surpass factory automation and achieve factory intelligence. The goal of factory intelligence is to improve product and service quality, decision making speed on the factory floor and utilization of high-value assets. Amkor now uses real-time, in-process decision making to drive gains in quality, asset utilization and efficiency. The application of Industry 4.0-era tools reduces cycle times for advanced packaging processing.

United statesUmesh manathkarDebi poloAmkor qualityAmkor technology incMarketing communicationsAmkor technologyAmkor corporateIndustrial iotArtificial intelligenceMachine learningEngineering data analyticsFault detectionஒன்றுபட்டது மாநிலங்களில்டெபி போளோமக்கோர் தரம்