the proceedings contain 55 papers. the topics discussed include: influence of oriented silicon steel on the performance of permanent magnet synchronous motors;investigation of correlation between temperature and leaka...
ISBN:
(纸本)9786050113310
the proceedings contain 55 papers. the topics discussed include: influence of oriented silicon steel on the performance of permanent magnet synchronous motors;investigation of correlation between temperature and leakage current in HTV silicone rubber by inclined plane tests;evaluation of distributed generation systems with power quality indices;the effect of zero sequence impedance parameters on distance protection settings: a case study;telemetry system for electronic systems;evaluation of a DNN face recognition system based on aging characterization of a twin set;and investigation of the thermoelectric coolers effects on life cycle of transformers.
the ScOSA project (Scalable On-board Computing for Space Avionics) of the German Aerospace Center aims at combining radiation hardened space hardware together with unreliable, but high performance COTS (commercial off...
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A group of governmental agencies is connected over a virtual private network (VPN), and uses variant computing systems to perform the daily tasks, they need to exchange formal data electronically, at the same time, an...
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We present a 4D Light Field (LF) video dataset, collected by a custom-made camera matrix, to be used for designing and testing algorithms and systems for LF video coding, processing, and streaming. Compared to existin...
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ISBN:
(纸本)9781450384346
We present a 4D Light Field (LF) video dataset, collected by a custom-made camera matrix, to be used for designing and testing algorithms and systems for LF video coding, processing, and streaming. Compared to existing LF datasets, ours provides LF videos, as opposed to only images, and at higher frame resolution, higher number of viewpoints, and/or higher framerate, offering the best visual quality LF video dataset. To achieve this, we built a 10x10 LF capture matrix composed of 100 cameras, each with a 1920 x 1056 resolution. We used this matrix to record videos in real and varying illumination and scene dynamics conditions. the dataset contains a total of nine groups of LF videos: eight groups collected with a fixed camera matrix position and orientation recording indoor potted plants, furniture, etc., and the last group collected by rotating around an outdoor environment with roadside vehicles, pedestrians, etc. Each group of LF videos consists of 100 video streams encoded with H.265/HEVC. Scene changes vary from static to slightly dynamic to highly dynamic, providing a good level of diversity. As an example, we present the results of a depth estimation method and show that our dataset can be used for applications such as objection detection, 3D modeling, and others.
the proceedings contain 68 papers. the topics discussed include: coupled feedback differential amplifier as a high-power terahertz amplifier;modeling and simulation to improve 66 kV overhead transmission lines perform...
ISBN:
(纸本)9781728110974
the proceedings contain 68 papers. the topics discussed include: coupled feedback differential amplifier as a high-power terahertz amplifier;modeling and simulation to improve 66 kV overhead transmission lines performance toward lightning strike;the regulation of a quadrotor UAV carrying a pendulum using receding horizon control;classification of products preference from EEG Signals using SVM classifier;component-based development using Moodle as alternative for e-learning software development;optimal placement and sizing distributed wind generation using particle swarm optimization in distribution system;the combination of foot switch and low-cost IMU for a wearable mouse in human-computer interaction;and design of landslide early warning system using fuzzy method based on android.
the proceedings contain 175 papers. the topics discussed include: winventor: a machine-driven approach for the development of Winograd schemas;evaluation of reinforcement learning methods for a self-learning system;cl...
ISBN:
(纸本)9789897583957
the proceedings contain 175 papers. the topics discussed include: winventor: a machine-driven approach for the development of Winograd schemas;evaluation of reinforcement learning methods for a self-learning system;classification, localization and captioning of dangerous situations using inception-V3 network and CAM;conversational scaffolding: an analogy-based approach to response prioritization in open-domain dialogs;an automated and distributed machine learning framework for telecommunications risk management;improving semantic similarity of words by retrofitting word vectors in sense level;using convolutional neural networks and raw data to model intraday trading market behavior;object detection for autonomous driving: motion-aid feature calibration network;validation of evacuation decision model: an attempt to reproduce human evacuation behaviors during the great East Japan earthquake;multiagent system for community energy management;taking inventory changes into account while negotiating in supply chain management;and an evaluation framework for future privacy protection systems: a dynamic identity ecosystem approach.
the proceedings contain 43 papers. the topics discussed include: the prediction of stock index movements based on machine learning;a natural language processing (NLP) framework for embedded systems to automatically ex...
ISBN:
(纸本)9781450376785
the proceedings contain 43 papers. the topics discussed include: the prediction of stock index movements based on machine learning;a natural language processing (NLP) framework for embedded systems to automatically extract verification aspects from textual design requirements;automation in agriculture: a case study of route planning using an evolutionary lovebird algorithm;algae biomass and radius prediction based on ARMA-BP neural network combination model;study on the application domain of two traditional defogging algorithms based on atmospheric degradation model;review on sentiment analysis of twitter posts about news headlines using machine learning approaches and nave bayes classifier;and hybrid artificial neural network and genetic algorithm model for multi-objective strength optimization of concrete with surkhi and buntal fiber.
the proceedings contain 175 papers. the topics discussed include: winventor: a machine-driven approach for the development of Winograd schemas;evaluation of reinforcement learning methods for a self-learning system;cl...
ISBN:
(纸本)9789897583957
the proceedings contain 175 papers. the topics discussed include: winventor: a machine-driven approach for the development of Winograd schemas;evaluation of reinforcement learning methods for a self-learning system;classification, localization and captioning of dangerous situations using inception-V3 network and CAM;conversational scaffolding: an analogy-based approach to response prioritization in open-domain dialogs;an automated and distributed machine learning framework for telecommunications risk management;improving semantic similarity of words by retrofitting word vectors in sense level;using convolutional neural networks and raw data to model intraday trading market behavior;object detection for autonomous driving: motion-aid feature calibration network;validation of evacuation decision model: an attempt to reproduce human evacuation behaviors during the great East Japan earthquake;multiagent system for community energy management;taking inventory changes into account while negotiating in supply chain management;and an evaluation framework for future privacy protection systems: a dynamic identity ecosystem approach.
In small distribution systems, the "smart microgrid (mu G)" concept is materialized for growing power savings and the allocation of energy distributed sources, and helping distribution system operators (DSOs...
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ISBN:
(纸本)9781728168432
In small distribution systems, the "smart microgrid (mu G)" concept is materialized for growing power savings and the allocation of energy distributed sources, and helping distribution system operators (DSOs) to choose the best investment strategies, to achieve a better grid operation, to increase the system efficiency, and to reduce adverse environmental impacts. In this context, the new specialized platforms for an advanced analysis and management of the energy market must be extended to the mu G level, by reconsider of the actual grid infrastructures with "smart" mu G clusters (mu GC). the paper proposes a prosumers fair load sharing and surplus trading approach based on transactive energy concept in mu G using an anonymous blockchain trading ledger-based clustering algorithm. In this way the trading process consider a new vision based on mu GC for selection the trading peers' priority solved with Ward hierarchical algorithm. the developed method is tested on a real mu G model to check its accuracy. Finally, an analysis regarding traded quantities and pecuniary peers' benefits is performed.
During the last decade the manufacturing industry focused on the realization of industry 4.0 aspects. Besides the implementation of new technologies, existing software structures also need to be reviewed and adapted i...
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